Вакансії Data Scientist / Machine learning Engineer
- TensorFlow
- CV
- NLP
- Docker
- DVC
- MLflow
- TensorBoard
- Generative AI
Dedicated ML/DL team inside Anadea is looking for a passionate Middle + DL Engineer interested in development of cutting-edge ML/DL/AI solutions across diverse business domains.
Daily activities include designing, training and optimizing deep learning models, preparing, transforming and analyzing related data, collaborating with other teams within the company to deliver impactful solutions. Whether fine-tuning neural networks for computer vision tasks, quantizing the model for mobile, creating complex and reliable RAG-related pipelines or fine-tuning an LLM for a downstream task, you’ll play a key role in solving complex challenges for our diverse range of clients in direct communication with them.
Who We Are Looking For:
- Profound understanding of ML/DL fundamentals
- Proficiency in Pytorch or Tensorflow – expertise in training models, identifying and resolving issues and optimizing model performance.
- Understanding of deep neural networks – what loss function to use, how to fix exploding gradients, why do we need regularization
- Proven experience with either CV or NLP tasks and architectures.
Nice to have:
- 2+ years of experience in ML/DL field
- Experience in containerizing DL pipelines (Docker).
- Commitment to high-quality coding: docstrings, type annotations, understanding of tests.
- Commitment to tracking your work: experience with DVC, MLFlow, Tensorboard or similar for tracking datasets and experiments.
- Advanced English proficiency, strong communication skills, ability to easily and clearly articulate technical concepts and effectively engage with the clients, present results and findings.
- Experience with Generative AI: LLMs, Image Generation models, understanding adapters, RAG
Інформація про компанію Anadea
Переваги співробітникам
- Безкоштовний обід
- Компенсація навчання
- Медичне страхування
- Освітні програми, курси
- Регулярний перегляд зарплатні
- Python
- scikit-learn
- Pandas
- Seaborn
- SQL
- Git
- Docker
Ciklum is looking for a Senior Data Scientist to join our team full-time in Ukraine.
About the role:
As a Senior Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow. Our client is a global food tech company, with over 98 million active users across 22 countries. They connect customers from Amsterdam to Auckland with the food they love, providing innovative solutions in the food delivery industry. As a rapidly growing business, they are focused on refining their processes and implementing methodologies that support both local and global teams. We are now looking for a Senior Data Scientist to join the dynamic team in Ukraine, where you will have the opportunity to drive data-driven strategies, optimize business processes, and support the company’s continuous growth and success in an ever-evolving industry.
Responsibilities
- Idea Generation & Business Case Development
- Proactively develop innovative solutions and create compelling business cases
- Pitch ideas to key stakeholders to gain buy-in and support
- Data Analysis & Insight Communication
- Analyze data to extract actionable insights aligned with business goals
- Present findings through clear visualizations and presentations to diverse audiences
- Machine Learning Model Development
- Develop and implement scalable, accurate machine learning models for efficient predictions
- Collaborate with ML Engineers to deploy, maintain, and enhance models
- Cross-Functional Collaboration
- Work with product teams to define success metrics and ensure alignment with business objectives
- Partner with Developers and Operations Research Scientists to integrate and apply predictions effectively
- Mentorship & Knowledge Sharing
- Mentor junior data scientists, offering guidance and feedback
- Foster a collaborative environment, sharing best practices and insights across the team
Requirements
- Advanced proficiency in data science and machine learning methodologies, with extensive experience applying these techniques in production environments
- Proven experience in getting models to production, scaling, and maintaining them for long-term success
- Python (scikit-learn, pandas, seaborn, etc.) in notebooks and pure Python code for production, and strong proficiency in SQL
- Strong understanding of software development best practices, including testing, git, code reviews, and model lifecycle management
- Working with Docker containers to support reproducible and scalable environments
- Experience with real-time data integration and machine learning frameworks
- Basic understanding of mathematical optimization is required
- Experience with real time inference and stream processing is required
Desirable
- Leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration
- A holistic project approach, from generating business cases to managing the full lifecycle of models
- Ability to generate innovative ideas, test hypotheses rigorously, and pitch business cases to stakeholders
- Critical analysis of approaches, assumptions, and business impact, with the ability to challenge and refine strategies for optimal results
- Preference for simple, scalable, and effective solutions, particularly in complex projects
- Expertise in agile environments with strong collaborative skills, particularly in cross-functional teams
- Excellent communication skills, including the ability to present complex data insights and machine learning concepts to a wide range of stakeholders, both technical and non-technical
Інформація про компанію Ciklum
Переваги співробітникам
- Team buildings
- Англомовне середовище
- Бухгалтерський супровід
- Компенсація домашнього офісу
- Надається ноутбук
- Освітні програми, курси
- Python
- scikit-learn
- PyTorch
- Lightning
- ONNX
- Docker
- AWS
- Azure Cloud
- SQL
- NoSQL
- Angular
- C#
- C++
We are looking for a Machine Learning/Deep Learning – Python Engineer to join our team.
Requirements:
- Proficiency in full-stack data science tools, including data wrangling, iterative analysis, and batch processing
- Familiarity with leading machine learning/deep learning libraries such as sklearn, PyTorch, and Lightning
- Experience with model industrialization tools, including quantization, ONNX, Docker, etc.
- Knowledge of MLOps practices and pipeline development for continuous integration and deployment
- Efficient handling of large datasets: processing, clustering, filtering, indexing, and querying
- Experience with automated model training and deployment processes
- Strategic data analysis and research, including statistical tests, error propagation, and identification of clusters and outliers
- Cloud expertise, including AWS and/or Azure Cloud Services (would be a plus)
- Strong SQL and NoSQL skills
- Solid understanding of data structures
- Experience in Frontend (Angular) (would be a plus)
- Experience with compiled languages such as C#, C++, or others (would be a plus)
- Bachelor’s or Master’s degree in Mathematics or Statistics, with a strong focus on applied technologies (or similar technical field)
- Level of English: Upper-Intermediate (at least)
Responsibilities:
- Develop efficient workflows for feature extraction and data processing, focusing on managing CAD, 2D, and various datasets (both raw and filtered) for Machine Learning applications
- Design, engineer, and take responsibility for cloud services, APIs, automated model training and deployment, as well as build tools
- Oversee the full lifecycle of services – from proof of concept (POC) to production-ready implementation
- Gain in-depth knowledge of interconnected cloud, data, computer vision, and machine learning services across multiple programming languages and platforms
- Develop and maintain services for optimization and machine learning
- Analyze and manage 2D/3D/CAD datasets
- Lead the development of solutions for 2D drawing and computer vision problems
Інформація про компанію Leobit
Переваги співробітникам
- Освітні програми, курси
- Регулярний перегляд зарплатні
- Python
- R
- Pandas
- NumPy
- scikit-learn
- SQL
- Tableau
- Microsoft Power BI
- GCP
- AWS
- Microsoft Azure
Murka is looking for a Data Scientist for the team that develops social casino games.
Responsibilities
- Collect, process, and analyze large and complex data sets from various sources to uncover actionable insights that drive product improvements, marketing optimizations, and business growth.
- Develop, implement and support statistical models, machine learning algorithms, and data-driven strategies to support product, marketing and business decision-making.
- Design and conduct A/B tests and experiments to measure the impact of changes and provide recommendations for enhancements.
- Create and maintain visually compelling reports, dashboards, and data visualizations that effectively convey insights
- Collaborate with cross-functional teams including marketing, game development, and business intelligence to transform data into actionable insights and support key business initiatives
- Continuously explore advancements in data science, machine learning, and AI, applying new methodologies to enhance analytics processes and drive innovative solutions
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- At least 3 years of experience as a Data Scientist, ideally in gaming or mobile app industry.
- Strong programming skills in Python and/or R, with experience using libraries such as Pandas, NumPy, Scikit-learn.
- Proficiency in SQL for data extraction and manipulation, as well as experience with data visualization tools like Tableau, Power BI, or equivalent.
- Solid understanding of machine learning, statistical analysis, and experience implementing models for classification, regression and clustering
- Experience with cloud platforms (e.g., Google Cloud, AWS, Azure)
- Strong analytical and problem-solving skills, with the ability to draw actionable insights from large datasets.
- Excellent communication skills to explain complex data concepts to stakeholders with varying technical backgrounds.
- Ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
- A passion for gaming and a curiosity to understand and predict user behavior.
Інформація про компанію Murka Games
- Python
- NumPy
- Pandas
- scikit-learn
- Keras
- SQL
- MySQL
- BigQuery
- ETL
- Flask
- FastAPI
- Linux
- Docker
- GCP
We are looking for a creative, persistent, and experienced Data Science Team Lead who has a passion for research, loves to dig deeply into problems, and sees the opportunities to generate business value using data science. In this role, you will lead and guide a team of data scientists which is a part of our product development team. You will design robust machine learning models, aligning project strategies with business objectives, while fostering collaboration across departments and ensuring effective communication of complex insights to stakeholders.
We are building a freelance platform that has a bidding process with an interesting interaction dynamic between customers and executors. It is powered by descriptive, predictive, and prescriptive analytics provided by our team. We create data science solutions covering complex recommendation engines, executors ranking, price optimization, uplift modeling, and others.
Join us to be at the forefront of innovation in our freelance marketplace, where you will not only solve complex and interesting problems but also shape user experiences and impact business outcomes using advanced data science.
Responsibilities:
- Lead and mentor a team of data scientists. Manage project timelines, resources, and staffing;
- Design and implement machine learning models and algorithms ensuring their robustness, scalability, and performance;
- Develop and manage the strategic direction of machine learning projects, aligning initiatives with broader business goals and translating business challenges into actionable data science projects;
- Facilitate team collaboration and cross-departmental communication, convey complex data insights to non-technical stakeholders, and represent the data science team in executive decision-making processes;
- Stay updated with the latest developments in machine learning, artificial intelligence, and related technologies. Implement best practices.
Requirements:
- 4+ years of engineering experience, at least 1 year at leadership role;
- English - intermediate level;
- Strong knowledge of Machine Learning;
- Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); being able to optimize and speed-up code;
- Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL processes;
- Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP;
- Understanding algorithms & data structures; software & system design principles;
- Strong knowledge in Probability and Statistics (e.g. MLE; CLT; hypothesis testing; Bayesian inference);
- Analytical Thinking, Problem-Solving Skills, Attention to Detail;
- Big Picture Vision, Strategic Thinking;
- Proactivity and Initiative, autonomy;
- Business Acumen: the ability to leverage data science to drive business value;
- Curiosity and Learning Agility; desire to invest extra efforts for personal and professional growth;
- Strong leadership and communication skills.
Інформація про компанію Boosta
Переваги співробітникам
- English Courses
- Team buildings
- Work-life balance
- Гнучкий графік роботи
- Допомога психотерапевта
- Кава, фрукти, перекуси
- Компенсація навчання
- Оплата роботи в коворкінгу
- Оплачувані лікарняні
- Освітні програми, курси
- Python
- SQL
- PyTorch
- Keras
- TensorFlow
- AWS SageMaker
- Vertex AI
- Computer Vision
- NLP
Are you looking for a team of professionals on top of cutting-edge technologies? Are you looking for a place to boost your Machine Learning career?
We invite you to join our Big Data Competence Center, part of Sigma Software’s complex organizational structure that combines various clients, interesting projects, and activities to grow your professional skills.
Customer
We’re operating in various business domains and with the top range of clients (those without NDAs can be found here: sigma.software/case-studies).
Our team highly supports employees’ freedom, independence in decision-making, and the desire to deeply understand client’s requests and see the root of the problem. We believe that people striving toward this mindset are bound to succeed as acclaimed professionals and driving force of Big Data development in Ukraine.
Project
Big Data Competence Center is where we collect the best engineering practices and unite them into one knowledge base to provide the best technical excellence services for our clients.
We’re not just a team gathered to write code. We all are willing to contribute to the field by participating in the life of the Big Data Unit, or by constantly growing our skills. In our unit, you can be a Principal Machine Learning Engineer/Team Lead/Architect, or you can become a mentor, a person behind all the new technologies in the team, or an active listener if you will. Whatever you decide, be sure that you’re not alone. Whether it’s a difficult task, an unordinary client request, or your next project to choose, you’ll always have a mentor and teammates with similar mindsets to come up with the best solution.
We’re using an unusual approach, hiring people not for the specific project, but, first and foremost, to join our team. This gives us a chance to know you better and ensure that we’ll provide a perfect match between the client’s needs and your professional interests.
If you have the courage to become a part of the top-notch Big Data community in Ukraine, grab your chance, and let’s make some history together!
Requirements
- Advanced Python and SQL knowledge and expertise
- Experience in model implementation and tuning using popular Machine Learning frameworks like PyTorch, Keras, TensorFlow
- Ability to understand Machine Learning development and deployment processes
- Solid experience with Machine Learning cloud services like AWS SageMaker or Vertex AI and their supplemental features (like SageMaker Pipelines)
- Proficiency in programming for Computer Vision applications and solutions
- Expertise in MLOps, focusing on streamlining and automating ML workflows
- Ability to create and adjust Machine Learning pipelines for the end-to-end Machine Learning development cycle
- Experience in working with Deep Learning models for signal and speech processing, as well as for Natural Language Processing domain
- Proficiency in setting up multi-GPU infrastructure for model training
- Solid understanding in DevOps practices and principles
- Work experience in building and deploying AI solutions
- Familiarity with statistical and data mining techniques and ability to use them when it is appropriate
- Experience in working with Data Analytics
- At least an Upper-Intermediate level of English
Responsibilities
- Collaborate within a cross-functional data team to address diverse, data-centric tasks
- Establish and maintain effective communication with clients and their teams, ensuring alignment on project objectives
- Take ownership of delivering key solution features, from design to deployment
- Engage in requirements gathering and analysis, proposing optimal machine learning strategies and leading the implementation process
- Contribute to pre-sales activities, providing expert input on machine learning and AI solutions
- Develop and implement core system modules, designing scalable and cost-effective solutions
- Conduct code reviews and write comprehensive unit and integration tests to ensure code quality
- Scale distributed systems and infrastructure to support evolving business needs
- Support the client’s research team in the implementation, training, testing, and fine-tuning of deep learning models
- Collaborate with research teams to identify the most appropriate models and open-source tools for language and signal processing tasks, optimizing performance and outcomes
Інформація про компанію Sigma Software
Переваги співробітникам
- Work-life balance
- Гнучкий графік роботи
- Медичне страхування
- Освітні програми, курси
- Юридичний супровід
- Python
- PyTorch
- TensorFlow
- Keras
- Generative AI
- RAG
- LLM
- scikit-learn
- Pandas
- NumPy
- GCP
- Microsoft Azure
- AWS
Avenga is looking for a skilled Data Science Engineer to be involved in developing Machine Learning models aimed at enhancing customer service operations. The client is a European telecom company that provides digital services via mobile and fixed networks for private and business customers.
This role offers an exciting opportunity to leverage Machine Learning techniques to improve customer interactions and streamline complaint management processes.
What you bring along:
- 3+ years of experience with Data Science;
- Proficient in Python for data manipulation and analysis;
- Good at PyTorch/TensorFlow, or Keras for building and training machine learning models;
- Competent in Generative AI techniques, including the use of retrieval-augmented generation (RAG) methods and fine-tuning of large language models (LLMs);
- Knowledge of standard ML libraries such as scikit-learn, pandas, and NumPy;
- Ability to work with vector databases;
- Knowledge and practical experience with cloud technologies (GCP, Azure, or AWS);
- English – Upper-Intermediate or higher.
This is your mission:
- Gather, clean, and preprocess large datasets from various sources to ensure high-quality data for analysis;
- Design, implement, and evaluate machine learning models using frameworks such as PyTorch, TensorFlow, or Keras to solve complex business problems;
- Apply statistical methods to analyze data trends and patterns, conducting hypothesis testing and predictive modeling;
- Develop and implement Generative AI solutions;
- Utilize retrieval-augmented generation (RAG) methodologies to enhance the performance of AI models in real-world scenarios;
- Create and manage embeddings using vector databases;
- Optimize vector store queries and manage data storage strategies to ensure quick access and retrieval times.
Інформація про компанію Avenga
Переваги співробітникам
- English Courses
- Paid overtime
- Гнучкий графік роботи
- Компенсація витрат на спорт
- Медичне страхування
- Оплачувані лікарняні
- Освітні програми, курси
- NumPy
- SciPy
- Pandas
- scikit-learn
- XGBoost
- SQL
- Python
- Generative AI
Що потрібно робити:
- EDA
- Обробка, очищення та перевірка цілісності даних, що використовуються для аналізу
- Створення та оптимізація ML pipelines
- Створення автоматизованих систем виявлення аномалій та моніторинг їх роботи
- Створення та впровадження ML моделей для роботи з табличними та неструктурованими даними (текст, зображення, звук)
- Сегментація клієнтської бази
- Підготовка документації про розробку та впровадження моделей
- Презентація результатів замовникам та представникам бізнес-підрозділів
Необхідні знання, досвід та особисті якості:
- 1+ рік досвіду роботи на позиції Data Scientist
- Досвід створення та впровадження повного циклу ML моделей (from research to production)
- Досвід використання поширених DS інструментаріїв (numpy, scipy, pandas, sklearn, xgboost, etc.)
- Відмінне розуміння методів машинного навчання та алгоритмів
- Можливість працювати самостійно та з членами команди з різним бекграундом
- Уміння створювати і підтримувати документацію про створені моделі і процеси
- Розуміння концепцій статистики / теорії ймовірності, аналізу даних, машинного навчання
- Знання SQL, Python
- Знання BI інструментів, вміння будувати дашборди для моніторингу роботи моделей
- Здатність будувати змістовні візуалізації результатів
Додатковою перевагою буде:
- Досвід роботи з рекомендаційними системами, задачами сегментації, GenAI
Інформація про компанію ПриватБанк
Переваги співробітникам
- English Courses
- Fitness Zone
- Gaming room
- Кімната відпочинку
- Кава, фрукти, перекуси
- Компенсація навчання
- Медичне страхування
- NumPy
- SciPy
- Pandas
- scikit-learn
- TensorFlow
- Keras
- PyTorch
- NLP
- Kaggle
- Docker
- Computer Vision
About the position
During the internship, you will have the opportunity to work in either Remote Sensing, focusing on analyzing and interpreting data from satellite or aerial sensors, or with LLM Agents, where you will develop and refine AI models for natural language processing tasks. Both areas offer hands-on experience with cutting-edge technologies and tools.
Must have skills:
- Knowledge and experience with algorithms and data structures
- Strong knowledge of linear algebra, calculus, statistics and probability theory
- Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn, etc.)
- Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch, etc.)
- Understanding of OOP
- At least an Upper-Intermediate level of English (spoken and written)
Nice to have skills:
- Docker practical experience
- Experience in Computer Vision (segmentation, object detection, recognition, tracking, etc.)
- Experience in Natural Language Processing
- Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
- Participation in Kaggle competitions
- Research experience in university
Інформація про компанію Quantum
Переваги співробітникам
- Work-life balance
- Багатонаціональна команда
- Гнучкий графік роботи
- Надається ноутбук
- Оплачувані лікарняні
- Освітні програми, курси
- TensorFlow
- PyTorch
- SQL
- NLP
- OpenVino
- TensorRT
- Docker
- AirSim
- Gazebo
- AWS
- GCP
- Microsoft Azure
- Kaggle
- Computer Vision
About the project
Quantum is a global technology partner delivering high-end software products that address real-world problems.
We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.
Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.
We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!
About the position
Quantum expands the team in Central Europe and has brilliant opportunities for Data Science Engineers with Computer Vision expertise.
If you want to work on areas related to Data Analysis, agritech, image processing, and solving real-world challenges with innovative technologies, apply for the vacancy below.
Must have skills:
- 3+ years of commercial experience as a Data Science Engineer
- Strong knowledge of linear algebra, calculus, statistics, and probability theory
- Knowledge and experience with algorithms and data structures
- Strong experience with Machine Learning
- Expertise in the area of Computer Vision
- Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
- Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
- Experience with SQL
- Strong knowledge of OOP
- At least an Upper-Intermediate level of English (spoken and written)
Nice to have skills:
- Experience in area of Natural Language Processing
- Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
- Docker practical experience
- Working with simulation environment AirSim/Gazebo
- Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
- Participation in Kaggle competitions
Your tasks will include:
- Full-cycle data science projects
- Data analysis and data preparation
- Development and improvement of Computer Vision algorithms for robotic perception
- Development of Machine Learning / Deep Learning solutions, developing models and deploying them to production
- Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains
Інформація про компанію Quantum
Переваги співробітникам
- Work-life balance
- Багатонаціональна команда
- Гнучкий графік роботи
- Надається ноутбук
- Оплачувані лікарняні
- Освітні програми, курси
- Python
- PyTorch
- TensorFlow
- Machine learning
- Computer Vision
EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for experienced, self-organised candidate to develop ML models and algorithms to be used in our BeautyUp app.
What will you do:
- Design, develop, and optimize state-of-the-art computer vision algorithms and models;
- Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement.
What you should have:
- Proficiency in Python and familiarity with deep learning frameworks like PyTorch or TensorFlow;
- Deep understanding of the current state of the art in machine learning and computer vision;
- Robust communication skills, complemented by the ability to thrive in a collaborative team environment.
Інформація про компанію EXITEK
Переваги співробітникам
- Без бюрократії
- Гнучкий графік роботи
- Регулярний перегляд зарплатні
- Python
- SQL
- NoSQL
- Neo4j
- Apache Spark
- Hadoop
- Pandas
- NumPy
- scikit-learn
- PyTorch
- TensorFlow
We seek a Senior Data Scientist with strong AI expertise to help us transform our vast client data into actionable insights that drive product innovation. This role is central to our mission of leveraging data to enhance our offerings and create impactful, data-driven solutions. The ideal candidate should have similar experience in the food chain industry and sustainability.
Requirements
- Experience: 4+ years in data science roles, with significant experience in AI/ML model development and deployment
- Technical Skills:
- Proficiency in Python, SQL, NoSQL, graph databases (Neo4j);
- Big Data technologies (e.g., Spark, Hadoop);
- Expertise in machine learning frameworks like pandas, numpy, scikit-learn, PyTorch, and TensorFlow;
- Statistical Analysis: Strong foundation in statistics, including regression analysis, probability, hypothesis testing, and statistical inference. Ability to apply statistical rigor to validate model outcomes and enhance data insights
- Analytical Thinking: Strong problem-solving skills and the ability to communicate complex insights to non-technical stakeholders
- AI Expertise: Demonstrable experience applying AI techniques such as predictive modeling, NLP, or computer vision to real-world applications
Responsibilities
- Data Strategy and Insight Generation: Develop and implement data strategies to extract, analyze, and interpret complex data sets from client interactions and product usage. Provide recommendations for product enhancements based on data-driven insights
- AI Integration: Design, develop, and integrate AI-driven models to automate, enhance, and innovate our product’s data-processing capabilities. Apply machine learning and deep learning techniques to identify patterns and trends
- Collaboration with Cross-Functional Teams: Work closely with product development, engineering, and customer success teams to integrate AI and data science solutions seamlessly within the product ecosystem
- Data Management: Oversee data governance, ensuring data integrity, accuracy, and compliance with privacy regulations. Establish data pipelines and improve data quality standards
Інформація про компанію Artelogic
Переваги співробітникам
- Work-life balance
- Відпустка по догляду за дитиною
- Допомога психотерапевта
- Компенсація навчання
- Медичне страхування
- Освітні програми, курси
- Юридичний супровід
- Scala
- Apache Spark
- Python
- AB testing
- Hadoop
- Generative AI
Svitla Systems Inc. is looking for a Senior Data Scientist for a full-time position (40 hours per week) in Ukraine. Our client is a global marketing and advertising holding company that focuses on leveraging data, technology, and creativity to drive business growth. Formed in 2015, the company brings together agencies and services specializing in digital marketing, public relations, data analytics, media buying, and branding. They emphasize a digital-first strategy, integrating technology with marketing to drive results for clients across various sectors, including B2B, B2C, and DTC brands. The company utilizes advanced data analytics and technology to enhance marketing strategies, including its proprietary cloud solution, which offers data-driven SaaS solutions for marketers. They boast a network of over 70 agency partners and over 13,000 workers across 34 countries, providing extensive expertise and resources.
This role is ideal for someone passionate about pushing the boundaries of location-data analysis and understanding its connection to real-world behavior. The team works on building regression models, classification algorithms, data visualizations, and geospatial clustering within our location-data platform, which processes terabytes of data daily to power location-based products. The system integrates billions of data points into a comprehensive dataset covering hundreds of millions of places across the US and Canada, from restaurants and stores to parks, hotels, and colleges, representing every type of interest across North America. You will design, prototype, and test algorithms that turn hundreds of TBs of raw location data into valuable products. The approaches include exploratory data analysis, hypothesis testing, creation of heuristics, and machine learning techniques. Working with extensive data sets requires designing and developing highly memory- and CPU-efficient methods. The team uses a mixture of commercial, open-source, and home-grown solutions. Your findings will be built into the core products, and you will work closely with engineering. You will value the ability to get deep into the math behind algorithms.
Requirements:
- 5+ years of experience in a data science role.
- PhD or Master in a quantitative field.
- Experience with ML, Gen AI, Deep Learning, Probabilistic Graphical Models, active learning, anomaly detection, and image classification.
- Experience with Scala, Spark, Python, AB testing, Bayesian statistics, graphical data structures, and functional programming.
- Extensive background in math or statistics.
- Understanding owning multiple large projects/data products.
- Complete all research/design from an initial question to proof of concept ready for productionisation efficiently.
- Document all findings, processes, and use cases for both a technical and non-technical audience.
Nice to have:
- Experience with horizontally scaling statistical algorithms,
- Familiarity with Spark and/or the Hadoop ecosystem.
Responsibilities:
- Generate and implement ML and Gen AI algorithms.
- Design and prototype of scalable algorithms.
- Assess the quality of new datasets for downstream processing
- Create functional and technical documentation of analyses, findings, and prototypes
- Collaborate with engineering to produce prototypes.
- Communicate results to teams within the organization and to customers.
- Find creative solutions to business problems and develop them into products.
- Own and drive projects with minimal guidance.
Інформація про компанію Svitla
Переваги співробітникам
- English Courses
- Pet-friendly
- Team buildings
- Work-life balance
- Відпустка по догляду за дитиною
- Гнучкий графік роботи
- Кава, фрукти, перекуси
- Компенсація витрат на спорт
- Компенсація навчання
- Медичне страхування
- Оплачувані державні свята
- Оплачувані лікарняні
- Регулярний перегляд зарплатні
- Python
- Nvidia DeepStream
- gstreamer
- TorchScript
- TensorRT
- Docker
- Git
- Linux
- AWS
- EC2
- AWS ECR
- DVC
- MLflow
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Our client is a mission-driven organization. They are comprised of employees who are passionate about keeping people safe. Simply stated, they put people first, whether it’s protecting those visiting the places where people gather or through the support and development of our own employees. Our product is the world’s first and only touchless security screening solution that meets all of the post-pandemic security screening requirements. It is up to ten times faster and far more effective than last generation products because it uses new sensor technology and artificial intelligence. Unlike traditional metal detectors, it’s powered by AI Software Platform enabling the system to spot weapons while ignoring harmless personal items. It keeps high volume entrances flowing by reliably detecting guns and other weapons as visitors walk through at a natural pace while carrying their phones and bags. We are looking for an individual that can help optimize and deploy trained models onto edge devices for real time video analysis applications, focusing on performance tuning.
Main tasks and responsibilities:
- Optimize and Deploy Models: Deploy trained models onto edge devices for real-time video analysis, ensuring optimal performance
- Performance Tuning: Profile and tune models using Nvidia DeepStream/GStreamer for improved speed and reduced latency
- Python Development: Create and maintain Python applications for model integration and deployment
- Utilize Optimization Tools: Use TorchScript/TensorRT for model optimization on Nvidia Jetson/Orin devices
- Implement Hardware Acceleration: Enhance model inference performance through hardware acceleration techniques
- Containerization and Version Control: Manage deployments with Docker and version control using Git
- Collaborate and Document: Work with cross-functional teams and document best practices and performance metrics
Must have:
- Be a strong Python Programmer
- Have experience with Nvidia DeepStream/GStreamer
- Have experience with TorchScript/TensorRT for model optimization
- Have deployed models on the edge, e.g. Nvidia Jetson/Orin devices
- Have experience with hardware acceleration and performance profiling
- Familiar with Docker, Git and Linux
Would be a plus:
- Experience with AWS EC2/ECR for containerization and model deployment
- Experience with model versioning and management tools (e.g., DVC, MLflow)
- Experience with Post-training Quantization and Quantization Aware Training
Інформація про компанію Capgemini Engineering
Переваги співробітникам
- English Courses
- Відпустка по догляду за дитиною
- Компенсація витрат на спорт
- Медичне страхування
- Надається ноутбук
- Освітні програми, курси
- Парковка для авто
- Generative AI
- NLP
- GPT-3
- BERT
- GCP
- AWS
- Microsoft Azure
- Python
- TensorFlow
- PyTorch
- LLM
Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field. In the Data Science Center of Excellence, you will receive a chance to contribute to a wide range of projects in different areas, domains, and technologies.
Gen AI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate Gen AI, AI, Data Analytics, MLOps, and Cloud infrastructure.
If you are
- A holder of a Ph.D. or Master's Degree in Computer Science, or a related field
- Experienced in Generative AI and NLP techniques: GANs, Transformers, and Diffusion Models for Image Generation
- Competent in Generative AI and Language Models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI
- An expert in Deep Learning techniques application; knowledgeable of all mandatory technical and areas to use them successfully
- Confident in SoTA in Machine Learning, Deep Learning, NLP, and their application to resolving intricate challenges
- Working with pre-trained Language Models (GPT-3, BERT), and fine-tuning them for specific tasks
- Aware of the software development life cycle of AI projects, and Machine Learning operationalization processes
- Experienced with AI solutions deployment to main cloud providers: GCP, AWS, and Azure
- Hands-on with Python and TensorFlow or PyTorch
- Familiar with Big Data solutions and advanced data tools in Cloud Platforms (an advantage)
- Developing and implementing ML models using Generative AI and LLM (nice-to-have)
- Building and operationalizing ML models, including data manipulation, experiment design, developing analysis plans, and generating insights (as a perk)
- Translating complex concepts to a non-technical audience in a clear way (Upper-intermediate, or higher level of English)
And you want to
- Deploy in production Full Stack Data Analysis, Deep Learning, and Machine Learning model pipeline that includes deep analysis of customer data, and modeling
- Apply decision-making regarding relevant computational tools for study, experiment, or trial research objectives
- Lead the application of Generative AI techniques to develop innovative solutions for language generation, text synthesis, and creative content generation
- Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
- Present results directly to stakeholders and gather business requirements. Develop expertise in state-of-the-art Generative AI techniques
Інформація про компанію SoftServe
Переваги співробітникам
- Fitness Zone
- Гнучкий графік роботи
- Компенсація витрат на спорт
- Медичне страхування
- Оплачувані лікарняні
- Python
- Snowflake
- SAP HANA
- SQL
We are looking for a seasoned Senior Data Engineer to help us shape Emergn’s exciting future and play an important role in our growth.
We want you to:
- Work with stakeholders including data, design, product and executive teams and assist with data-related technical issues.
- Identify, design and implement process improvements including infrastructure re-design for greater scalability, data delivery optimization, and automation of manual processes.
- Build and support required infrastructure for optimal extraction, transformation and loading of data from various data sources.
- Design and assemble large, complex sets of data that meet non-functional and functional business requirements.
- Willingness to continuously learn & share learnings with others.
This job might be for you if you have:
- 3+ years of experience in Data Engineering or Data Science;
- Experience with Python;
- Experience with Snowflake or SAP Hana;
- Experienced with SQL;
- Highly experienced and skilled at collaborating with business clients;
- An analytical and creative approach to design and problem-solving;
- Excellent communication skills, including presentation skills;
- Must be fluent in English.
Інформація про компанію Emergn
Переваги співробітникам
- Team buildings
- Компенсація навчання
- Медичне страхування
- Освітні програми, курси
- Регулярний перегляд зарплатні
- AWS
- Kubernetes
- Python
- SQL
- Go
Ciklum is looking for a Senior Machine Learning Engineer to join our team full-time in Ukraine.
About the role:
As a Senior Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
In this position you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement. You will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems.
Our client is a global food tech company, with over 98 million active users across 22 countries. They connect customers from Amsterdam to Auckland with the food they love, providing innovative solutions in the food delivery industry. As a rapidly growing business, they are focused on refining their processes and implementing methodologies that support both local and global teams.
Responsibilities
- Collaborate with the Data Science team to ensure seamless deployment of machine learning models in production and optimize them for efficiency and accuracy at scale
- Architect and oversee the development of complex machine learning pipelines, managing real-time and batch inference systems integral to predictive platforms
- Work closely with cross-functional teams to anticipate future needs and recommend long-term solutions aligned with business objectives, facilitating communication between technical teams and business stakeholders
- Mentor and guide mid-level Machine Learning Engineers, providing support in their professional development and fostering a culture of best practices across the organization
- Conduct comprehensive code reviews, identifying areas for improvement and promoting continuous learning through knowledge sharing
- Communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable insights and presenting innovative solutions to key stakeholders
- Lead the integration of new technologies and tools into existing infrastructure, ensuring alignment with organizational goals and staying ahead of industry trends to maintain cutting-edge machine learning frameworks
- Guide the strategic direction of the organization’s machine learning initiatives, identifying opportunities to enhance operational efficiency and align with overall business strategy
Requirements
- Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes)
- Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production
- Extensive experience in designing, deploying, and maintaining scalable models and services in production environments
- Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization
- Significant experience with Data Engineering, Kafka, and stream processing
- Proficiency in Python and SQL; experience with Go or other programming languages is a strong plus
Personal skills
- Leadership skills, including mentoring and guiding mid-level engineers, and shaping team best practices
- Ability to generate and validate ideas with PoCs and build them into functional, scalable components
- Holistic project approach, taking ownership from initial concept through to integration, deployment, and lifecycle management
- Strong critical analysis of architectural approaches, driving strategic decisions about infrastructure and machine learning pipelines
- Self-motivated, with a track record of driving innovative solutions and seeing projects through to completion
- Expertise in agile methodologies and exceptional collaborative leadership skills, fostering cross-team alignment
- Excellent communication, including the ability to present complex ideas to both technical and non-technical stakeholders
- A preference for scalable, strategic solutions over complex or overly intricate designs
Інформація про компанію Ciklum
Переваги співробітникам
- Team buildings
- Англомовне середовище
- Бухгалтерський супровід
- Компенсація домашнього офісу
- Надається ноутбук
- Освітні програми, курси
- С++
- Python
- PyTorch
- TensorFlow
- Docker
- Git
- CUDA
- cuDNN
- NVIDIA Jetson Nano
- ONNX
- TensorRT
- AI
Обов’язки:
- Перенесення рішення:
- Очолювати зусилля з перенесення існуючих рішень машинного навчання на апаратне забезпечення NVIDIA Jetson, забезпечуючи сумісність та стабільність.
- Співпрацювати з інженерами машинного навчання для розуміння тонкощів моделей та алгоритмів, що переносяться.
- Оптимізація продуктивності:
- Оптимізація моделей машинного навчання та алгоритмів для використання унікальних апаратних можливостей NVIDIA Jetson, таких як прискорення GPU, для підвищення продуктивності та ефективності.
- Впровадження оптимізацій, таких як квантування моделей, обрізання та конвертація TensorRT, для покращення швидкості інферування та зменшення розміру моделей.
- Інтеграція та тестування:
- Інтеграція оптимізованих моделей у цільове апаратне середовище, забезпечуючи безперебійну роботу в рамках існуючої екосистеми клієнта.
- Проведення ретельного тестування та валідації для виявлення та вирішення будь-яких вузьких місць продуктивності або проблем сумісності.
- Співпраця та комунікація:
- Виступати як основна ланка між командою машинного навчання та спеціалістами з апаратного забезпечення, сприяючи чіткій комунікації та співпраці між цими дисциплінами.
Вимоги:
- Машинне навчання та глибинне навчання: Ґрунтовне розуміння принципів, алгоритмів та архітектур машинного та глибинного навчання. Знання різних моделей, включаючи, але не обмежуючись, CNN, RNN та трансформерами у різних застосуваннях, таких як обробка зображень, обробка природної мови та предиктивна аналітика.
- Конвертація та оптимізація моделей: Експертиза у конвертації моделей машинного навчання у формат ONNX для забезпечення інтероперабельності та подальшої оптимізації їх з використанням NVIDIA TensorRT для високопродуктивного інферування на пристроях NVIDIA Jetson.
- Платформи NVIDIA Jetson: Практичний досвід роботи з NVIDIA Jetson Nano, TX2, Xavier NX або AGX Xavier, включаючи налаштування, конфігурацію та оптимізацію продуктивності. Знання програмного стеку Jetson, включаючи JetPack SDK.
- Управління залежностями: Вміння вирішувати питання залежностей та сумісності під час конвертації та розгортання моделей, включаючи версії бібліотек, CUDA та cuDNN.
- Мови програмування: Сильні навички програмування на C++, з досвідом роботи з Python як додаткова перевага. Вміння використовувати PyTorch, TensorFlow або інші фреймворки глибинного навчання для розробки та тренування моделей.
- Середовище та інструменти: Знання Docker та віртуальних середовищ для управління залежностями проекту. Досвід роботи з системами контролю версій, бажано Git, для спільної роботи з кодом та версіювання.
Бажано:
- Програмні рішення для Edge AI: Розуміння концепцій Edge AI та досвід у розгортанні AI рішень на пристроях, оптимізованих для низького споживання енергії та затримки.
- Попередня обробка даних: Навички у розширенні, попередній обробці та трансформації даних для підготовки наборів даних для ефективного тренування та інферування на пристроях.
- Бенчмаркінг: Досвід у проведенні бенчмарків для вимірювання продуктивності моделей (наприклад, швидкість інферування, точність, споживання енергії) на платформах NVIDIA Jetson.
- Виявлення та усунення несправностей: Здатність виявляти та виправляти апаратні та програмні проблеми, включаючи вузькі місця продуктивності та обмеження пам’яті на пристроях.
Інформація про компанію UA Technology
Переваги співробітникам
- Освітні програми, курси
- Регулярний перегляд зарплатні
- Machine learning
- Python
- TensorFlow
- PyTorch
- Computer Vision
- AI
As an AI/ML Engineer at Ark Robotics, you will drive the development of intelligent algorithms that empower our drones and robotics systems with advanced decision-making and learning capabilities. Your work will involve designing, implementing, and optimizing AI and machine learning models that enhance the autonomy, efficiency, and functionality of our products.
Key Responsibilities:
- Develop and deploy AI/ML models for various robotics applications, including navigation, obstacle detection, and autonomous decision-making.
- Collaborate with software and hardware teams to integrate AI models into robotics systems.
- Conduct research to stay ahead of the latest trends and advancements in AI and machine learning.
- Analyze and interpret data to improve model accuracy and performance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
- 3+ years of experience in AI/ML model development and deployment.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Experience with computer vision, reinforcement learning, or natural language processing is a plus.
- Excellent analytical, problem-solving, and communication skills.
Інформація про компанію Ark Robotics
Переваги співробітникам
- Гнучкий графік роботи
- Регулярний перегляд зарплатні
- MLOps
- Ansible
- Puppet
- Chef
- CI/CD
- Git
- Jenkins
- Docker
- Kubernetes
- Mesos
- AWS
- IAM
- ECS
- EKS
- EMR
- Amazon S3
- Lambda
- Serverless
- AWS CloudFormation
- Terraform
- Python
- SQL
- Apache Spark
- DataBricks
- Snowflake
- Shell
- API
We invite you to join a project for one of our clients, an international company, one of the biggest sports brands in the world.
We seek a highly skilled MLOps Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for performance, forecasting, personalization, and inventory optimization. You will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. We are looking for a high-energy individual with experience developing cloud-native applications, APIs, and data pipelines that value automation, testing, and security. You will orchestrate cloud, containers, big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products.
Your role
- Create cloud infrastructure for machine learning following the MLOps model
- Develop and implement public and internal APIs
- Design event and streaming-based services
- Build Tests and Build a Pipeline for automated Deployment
- Establish Monitoring and Alerting for custom infrastructure
- Worki with batch data pipelines for machine learning for massive data sets
- Support investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scale
- Cooperate with a cross-functional agile team of software engineers, data engineers, ML experts, and others to build new product features
- Enable rapid iteration and product quality through continuous A/B testing
- Design, implement, and maintain solutions/platforms
- Collaborate with platform engineering and architects to utilize best practices and maintain compliance
Your skills
- At least 5 years of demonstrated experience in enabling MLOps
- Experience with system configuration management tools, such as Ansible, Puppet, or Chef
- Knowledge of CI/CD infrastructure using Git, Jenkins, or similar tools
- Proficiency with Docker, Kubernetes, Mesos, containers, and related tools and systems
- Background with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
- Prefer infrastructure as code experience with CloudFormation or Terraform
- Strong Python, shell scripting, and SQL
- Familiarity with Spark, Databricks, Snowflake
- Attention to agile development processes, data-driven development, reliability, and responsible experimentation
- Bachelor’s Degree in computer science, software engineering, or related field preferred
Інформація про компанію Sii Ukraine
Переваги співробітникам
- English Courses
- Гнучкий графік роботи
- Довгострокові проекти
- Регулярний перегляд зарплатні
Сторінки
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