Вакансии Data Scientist / Machine learning Engineer

What you will do

• Design and develop new analytics capabilities for the Spotfire product suite with close attention to robustness, scalability and performance;
• Be the “in-house” Math/Statistics expert for the algorithms development team;
• Formulate solutions for product ideas using mathematical and statistical building blocks and provide subject matter expertise to the Development, QA, Support, and Product Management teams;
• Ensure that the right statistical and machine-learning algorithms are being implemented in a scalable and performant manner to assist our users with their data discovery journey.

Must haves

• Masters Degree in Mathematics or Statistics (or Bachelors Degree in Mathematics or Statistics with relevant experience); Masters Degree in Data Science or related fields with strong foundations in Mathematics/Statistics theory from a reputable university;
• 10+ years of experience in commercial software development settings;
• Strong and comprehensive understanding of mathematical/statistical concepts and methodology, including (but not restricted to) Descriptive statistics, Inferential statistics, Bayesian statistics, Probability theory, linear algebra,
• Optimization theory, and Univariate and Multivariate calculus;
• Solid understanding of statistical/data-mining/machine learning analyses such as linear models, generalized linear models, Principal Component Analysis, Factor Analysis, Time series, Neural Networks, CART, CHAID, Random forest, and Boosted trees;
• Robust understanding of Numerical Analysis;
• Proficiency in R and/or Python;
• Interest in Spotfire and its business contexts;
• Appreciation of Engineering as an intellectual activity;
• Proclivity for quality over quantity;
• Upper-intermediate English level.

Nice to haves

• Experience with scientific computing and numerical recipes;
• Familiarity with the workflow of building, validating, and deploying predictive models;
• Experience using Business Intelligence and Data Science platforms;
• Experience in developing and deploying machine learning models;
• Working knowledge of C++ or C#;
• Good understanding of Data Structures and Algorithms;
• Experience with Big Data and Deep Learning frameworks;
• Data Analysis experience in Life Science, Energy, and High-Tech Manufacturing sectors.

We’re looking for a Data Analyst to help our client gather data that enables their AI tool to get better at predicting which technologies will win in the future.
Our client is a Netherlands-based predictive analytics scale-up that helps R&D leaders predict the technological future through the use of its AI-powered SaaS platform. With the platform, one can anticipate technological disruption and make strategic investments in emerging technologies. A crucial part of their operation is gathering empirical technological improvement and cost data to train their predictive models with.
We are looking for someone to join this data-gathering effort and become a part of a cool international team that is passionate about AI. It’s an amazing opportunity for a tech-driven person to become a part of a rapidly growing scale-up working on the frontier of AI.

What you’ll do in this role

• Conduct research on technologies and determine KPIs that allow for the tracking of technology performance and cost over time.
• Collect and organize empirical data on technology performance and costs.
• Develop technology KPI improvement curves that show how technologies improved and perform basic statistical tests to determine the quality of your data.
• Once complete, you will communicate your findings to the rest of the team and maintain a database of KPI improvement curves.

We’re looking for

• Good understanding of data analysis and statistics, with an analytical mindset
• Technical background and/or a degree in an engineering field, with completed courses in statistics
• Passion for working with data and an interest in emerging technologies and global trends
• Proficient with, and interested in, generative AI
• Familiarity with Google Suite (Docs, Slides, Sheets, etc)
• An ability to concentrate on the process and remain focused, result-oriented and responsible
• Someone detail-oriented with high standards who takes pride in delivering excellent work
• Experience in working effectively in teams
• Proactiveness and openness to share ideas on improving the processes, approaches, team cooperation, and tools
• Ability to quickly learn
• Excellent English skills

How to knock our socks off

• Strong experience with generative AI
• Experience with patent data
• Naming five or more dishes that include beetroot, besides borsch

We are seeking a skilled and motivated Python Engineer with AI experience to join our team. The successful candidate will work on developing and implementing a wide range of AI solutions, creating proofs of concept (POCs) using existing models and frameworks. This role requires a strong background in Python programming, machine learning, and data processing, with a focus on deploying solutions in cloud environments.

Requirements

• 3.5+ years of experience with Python.
• Solid understanding of AI techniques and frameworks, including NLP, computer vision, and other AI applications.
• Experience with large language models (LLMs).
• Experience building data processing pipelines using tools such as Apache Airflow.
• Experience with SQL and NoSQL databases.
• Experience with Azure and AWS.
• Experience in vector storage is a plus.
• English level – Upper-Intermediate.

Nice to Have:

• Proven expertise in Retrieval-Augmented Generation (RAG) models.
• Familiarity with frameworks such as LangChain, LlamaIndex, or Haystack

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Keras.
• Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.
• Experience working in collaborative, cross-functional teams.

Responsibilities

• Develop, train, and fine-tune machine learning models for various AI applications, including but not limited to NLP.
• Perform data preprocessing and augmentation for training datasets.
• Create and iterate on POCs to demonstrate the feasibility and potential impact of AI solutions.
• Build and maintain data processing pipelines using tools such as Apache Airflow.
• Collaborate with cross-functional teams to understand requirements and deliver effective AI solutions.
• Optimize models for performance and efficiency in a production environment.
• Work with SQL and NoSQL databases to manage and utilize data effectively.
• Deploy and manage models and data pipelines on cloud platforms such as Azure and AWS.

Ми шукаємо талановитого та досвідченого Data Scientist, який працюватиме над рішеннями генеративного штучного інтелекту для різних галузей та сфер використання. Ви будете використовувати свої навички машинного навчання для вирішення нетривіальних бізнес-завдань для клієнтів EPAM, які бажають використовувати останні досягнення в галузі Data Science та машинного навчання, застосовуючи їх до текстів, зображень, відео та інших даних. Ви працюватимете з крос-функціональними командами інженерів, науковців, продакт-менеджерів, будучи ключовою частиною просування генеративного ШІ від ідеї до реалізації.

Навички

• 5+ років досвіду в Data Science із застосуванням до розробки генеративних моделей (LLMs, GANs, VAE, Diffusion models)
• Досвід роботи з Computer vision, Natural Language Processing problems, досвід роботи з мультимодальними даними (зображення, тексти, аудіо, інші дані)
• Досвід використання Open AI GPTx, досвід дотренування
• Досвід написання готового до впровадження коду з використанням кращих інженерних практик
• Навички програмування на Рython
• Навички роботи принаймні з одним із поширених фреймворків глибинного навчання, таких як Pytorch, Tensorflow тощо
• Досвід оптимізації виробництва моделей глибинного навчання
• Досвід роботи принаймні з однією хмарною платформою (AWS, Azure, GCP)
• Відмінні комунікативні навички
• Знання письмової та усної англійської мови на рівні Upper-Intermediate і вище (В2+)

Обов'язки

• Бути лідером в генеративному ШІ та визначати для яких бізнес сценаріїв генеративний ШІ може бути ефективно застосований
• Досліджувати, розробляти та створювати прототипи новітніх підходів до генеративного ШІ, проводити оцінку можливості використання, досліджувати існуючі наукові роботи, впроваджувати та перевіряти його для реальних випадків використання
• Тісно співпрацювати з командою ML engineering на всіх етапах (від досліджень до імплементації генеративного ШІ)
• Співпрацювати з продакт-менеджерами та іншими зацікавленими сторонами бізнесу, щоб сформувати чітке бачення технології та її реальних можливостей
• Презентувати свій результат зацікавленим сторонам і чітко комунікувати як технічну, так і бізнес-частину рішення

Шукаємо Betting Machine Learning Specialist до нашої команди.
У цій ролі ви будете на передовій розробки ультрасучасних моделей, які використовують коефіцієнти від різних букмекерських організацій для формування власних провідних коефіцієнтів в галузі. Ваш внесок буде напряму сприяти реалізації нашого стратегічного завдання – надання найкращих коефіцієнтів на ринку ставок.

Responsibilities:

• Розробка та підтримка моделі машинного навчання для встановлення коефіцієнтів ставок.
• Аналіз даних букмекерських контор для створення комплексної системи порівняння коефіцієнтів.
• Співпраця з розробниками для інтеграції моделей машинного навчання в нашу платформу.
• Постійна оцінка продуктивності моделей та відповідне коригування стратегії.
• Бути в курсі останніх досягнень у галузі машинного навчання та алгоритмів ставок.

Requirements:

• Магістерська чи докторська ступінь у галузі статистики, комп’ютерних наук, математики чи суміжної галузі.
• Досвід у сфері машинного навчання та прогнозування моделей.
• Відмінні навички програмування на Python, R або аналогічній data science мові програмування.
• Знання ринку спортивних ставок і розрахунку коефіцієнтів.
• Досвід обробки та аналізу даних за допомогою SQL, Pandas або подібних інструментів.
• Ознайомленість із фреймворками машинного навчання (наприклад, scikit-learn, TensorFlow, PyTorch).
• Відмінні аналітичні здібності та problem-solving здібності.
• Навички спілкування та співпраці для ефективної роботи з міжфункціональними командами.

Бажані навички:

• Досвід у галузі спортивних ставок.
• Навички програмування на мові Java.
• Розуміння event-driven систем.

We are looking for a Data Scientist for our IT client.
As a data scientist, you will be responsible for developing and implementing advanced machine learning techniques for unsupervised fraud and outlier detection on tabular data. Your expertise in ML algorithms and statistical analysis will be crucial in designing and optimizing models to identify patterns and outliers in large datasets.

Tasks:

• Apply ML algorithms and statistical analysis techniques for unsupervised fraud/outlier detection.
• Develop and implement data preprocessing techniques to clean and transform datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.
• Conduct in-depth analysis and interpretation of data to uncover hidden patterns and trends.

Requirements:

• Proven experience in ML and unsupervised fraud/outlier detection on tabular data;
• Strong proficiency in programming language in Python;
• Advanced knowledge of ML algorithms, statistical analysis, and data visualization techniques;
• Excellent problem-solving and analytical skills;
• Strong communication and collaboration abilities.

The ideal candidate should be self-driven, ambitious and entrepreneurial. They must be able to balance technical debt and productivity both individually and at the team level. They are eager and able to learn quickly and to improve. Excellent communication skills and a team player mentality are necessary.

Required qualification and skills:

• Master's or PhD degree in a technical or engineering field.
• At least 5 years of Software engineering experience with Unit Testing, Integration Testing, Continuous Integration, Code-Style Guidelines, Continuous Development and Version Control System in a product-oriented professional working environment.
• Expert coding in Python and C++.
• Experience using TensorFlow, SciPy and numerical software.
• Experience with machine learning and signal processing.
• Knowledge using AWS and/or Google Cloud.

Desirables:

• Experience coding in Cuda.
• Experience designing large-scale applications.
• Experience using audio or video processing algorithms.
• Experience in architecting, designing, and developing Back-End server applications.
• Experience in Technical leadership.

We at 247labs are looking for a skilled and passionate Machine Learning Engineer to join our dynamic team and help us drive the next generation of intelligent solutions.

Key Responsibilities:

• Contribute to the implementation of large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs.
• Partner with other engineering teams and third-party vendors to develop reliable and scalable solutions to a wide range of problems.
• Review developers and data scientists work and provide reinforcing and constructive feedback to meet high-quality standards.
• Ensure all AI Models and data are ready to integrate with various systems and is production ready.

Qualifications:

• 3+ years of development experience in the ML domain (classic ML fundamentals knowledge is required, deep learning approaches is a plus but not required);
• Hands-on experience with modern machine learning libraries and frameworks, e.g. PyTorch, scikit-learn, Ray;
• Understanding of CS fundamentals such as Distributed Systems, Database Systems, Operating Systems, algorithms, and data structures. Hands-on coding and debugging experience using modern software delivery methods to develop services using Python and Golang, or another JVM-based languages (Java, Kotlin);
• Experience with designing and owning highly available, fault-tolerant backend systems using cloud storage services;
• Experience building software for database administration or experience with DevOps for databases is a plus;
• Working knowledge of OLAP systems like Snowflake, Redshift, BigQuery and Table formats like Apache Iceberg, Delta Lake is a plus;
• Prior backend engineering experience is a strong plus;
• Experience with AWS and/or other cloud providers like Azure, GCP etc. is a plus;
• At least one of:
  • Experience working in Database, SRE, or Infrastructure teams in the past, or have operated a distributed data storage system such as MySQL, Kafka, Cassandra, or others;
  • Experience with Service-Oriented Architectures (SOA).

We seek an AI Specialist with a strong background in Python web frameworks (Django/Flask/Pyramid). The ideal candidate has applied generative AI experience, focusing on creating user-facing LLM implementations. Join us to innovate and drive projects for a leading US news publisher recognized in the Alexa Top 500 Global Sites.

Requirements

• A solid Python web (Django/Flask/Pyramid) + React frontend past background
• Experience in applied generative AI, focusing on user-facing LLM implementations. Practical experience with Langchain and RAG-type implementations is preferred over purely academic backgrounds
• It would be nice if you had:
  • Proficient in Python and the OpenAI API, capable of selecting, implementing, and training suitable AI tools and Machine Learning Models for specific tasks using these and other open-source technologies
  • Familiarity with machine learning frameworks and libraries such as TensorFlow and PyTorch
  • Experience in natural language processing (NLP) and AI-generated content development
  • Knowledge of cloud computing platforms and experience with deploying AI models
  • Excellent problem-solving and analytical skills with the ability to optimize AI models and algorithms
  • Experience with version control systems such as Git for code management
  • Relevant training and/or certifications in computer science, AI, or a related field
  • Proven work experience in an AI-related role such as AI Developer or Machine Learning Engineer
  • Bachelor's degree in Engineering, Computer Science, or Science, Technology, Engineering, or Mathematics (STEM) and 1 - 3 years' experience of AI work experience

Responsibilities

• Collaborate with a team of Engineers and/or scientists to identify potential applications for generative AI and advocate for strategic implementation
• Design, develop, and refine AI-generated text prompts, machine learning models, and automation tools for various applications
• Research and identify opportunities for AI and automation within client campaigns
• Identify & develop AI models, machine learning algorithms, and automation tools
• Monitor and optimize AI and automation performance, making adjustments as needed
• Stay up-to-date on the latest advancements in AI, natural language processing, and machine learning
• Provide support to content and product teams in understanding prompt engineering best practices
• Draft and distribute reports on prompt performance and development progress
• Produce high quality, professional, and innovative solutions to complex and technologically advanced AI problems
• Works on the forefront of new AI technologies
• Develops and executes cutting-edge research programs to create and then experimentally prove innovative and effective solutions to complex AI technical problems