Вакансии Data Scientist / Machine learning Engineer

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

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.

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

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

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

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

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

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.

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.