We are looking for an experienced Senior Data Scientist with advanced expertise in Computer Vision to join our team. In this role, you will contribute significantly to both the Discovery and Implementation phases of our projects, working closely with geologists and other client-side collaborators. Your contributions will directly influence the creation and deployment of sophisticated image processing solutions tailored for the geosciences field.
responsibilities
Collaborate with geologists and client-side professionals during the Discovery phase to understand business priorities, establish project objectives, and identify opportunities for data-driven solutions
Lead efforts in designing, developing, and implementing computer vision models for image processing and information extraction
Establish efficient protocols for image data acquisition, annotation, preprocessing, and organization
Define accuracy metrics and performance indicators to ensure the effectiveness of the delivered solutions in meeting both technical and business requirements
Conduct regular discussions and workshops with client partners to maintain alignment, obtain feedback, and foster project advancement
Document processes, outcomes, and guidelines for team knowledge sharing and future use
Keep informed about emerging trends in computer vision and machine learning to incorporate innovative techniques into project solutions
requirements
Proven experience of at least 3 years in data science roles, with significant focus on computer vision applications
Knowledge of deep learning frameworks like TensorFlow or PyTorch and image processing libraries such as OpenCV or PIL
Showcase of designing, training, and deploying computer vision models in practical scenarios
Background in collaborating within multidisciplinary teams and engaging effectively with non-technical partners
Skills in analytical thinking, problem resolution, and effective communication
Experience in geosciences or comparable industries
Proficiency in Python and data science libraries such as pandas, sklearn, and numpy
Expertise in delivering technical presentations and explaining advanced concepts to broader audiences
We are looking for a skilled Senior NLP Data Scientist who will be responsible for analyzing complex textually based problems, finding algorithmic solutions, and building machine learning models for various NLP tasks. The ideal candidate must have at least 5 years of experience in building machine learning models, possess Python programming experience, and have a natural curiosity for data crunching and analysis.
responsibilities
Analyzing complex textually based problems and finding algorithmic solutions
Building machine learning models for various NLP tasks
Designing a workflow for professionals to build their own NLP solutions
Tuning machine learning models for both improving quality and latency/memory
Taking full ownership of a problem from understanding the requirements to demoing it
requirements
B.Sc. in a relevant field: Computer Science/Software Engineering/Applied Mathematics. M.Sc.
4+ years of experience in building machine learning models
Experience with NLP
Python programming experience, including relevant machine learning libraries
English B2+
nice to have
Experience with Transformers - Hugging Face or BERT
We are seeking a talented and experienced Data Scientist to work on generative AI solutions across various industries and use cases. You will leverage your machine learning expertise to tackle complex business challenges for EPAM's clients, applying the latest advancements in data science and AI to texts, images, videos, and other data types. You will collaborate with cross-functional teams of engineers, scientists, and product managers, playing a key role in advancing generative AI from concept to implementation.
responsibilities
Act as a leader in generative AI, identifying business scenarios where generative AI can be effectively applied
Research, design, and prototype cutting-edge generative AI approaches, evaluate their feasibility, explore existing scientific research, and implement and validate solutions for real-world use cases
Collaborate closely with the ML engineering team across all stages, from research to the implementation of generative AI solutions
Work with product managers and other business stakeholders to shape a clear vision of the technology and its practical applications
Present results to stakeholders, effectively communicating both the technical and business aspects of the solutions
requirements
5+ years of experience in Data Science, focusing on developing generative models (LLMs, GANs, VAEs, Diffusion models)
Experience with computer vision and natural language processing, including working with multimodal data (images, text, audio, and more)
Familiarity with OpenAI GPT-x and experience in fine-tuning models
Proven ability to write production-ready code using best engineering practices
Strong programming skills in Python
Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc.
Experience optimizing deep learning models for production
Hands-on experience with at least one cloud platform (e.g., AWS, Azure, GCP)
Excellent communication skills
Written and spoken English proficiency at Upper-Intermediate (B2+) level or higher
We are seeking a talented and experienced Data Scientist to work on generative AI solutions across various industries and use cases. You will leverage your machine learning expertise to tackle complex business challenges for EPAM's clients, applying the latest advancements in data science and AI to texts, images, videos, and other data types. You will collaborate with cross-functional teams of engineers, scientists, and product managers, playing a key role in advancing generative AI from concept to implementation.
responsibilities
Act as a leader in generative AI, identifying business scenarios where generative AI can be effectively applied
Research, design, and prototype cutting-edge generative AI approaches, evaluate their feasibility, explore existing scientific research, and implement and validate solutions for real-world use cases
Collaborate closely with the ML engineering team across all stages, from research to the implementation of generative AI solutions
Work with product managers and other business stakeholders to shape a clear vision of the technology and its practical applications
Present results to stakeholders, effectively communicating both the technical and business aspects of the solutions
requirements
5+ years of experience in Data Science, focusing on developing generative models (LLMs, GANs, VAEs, Diffusion models)
Experience with computer vision and natural language processing, including working with multimodal data (images, text, audio, and more)
Familiarity with OpenAI GPT-x and experience in fine-tuning models
Proven ability to write production-ready code using best engineering practices
Strong programming skills in Python
Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc.
Experience optimizing deep learning models for production
Hands-on experience with at least one cloud platform (e.g., AWS, Azure, GCP)
Excellent communication skills
Written and spoken English proficiency at Upper-Intermediate (B2+) level or higher
Are you passionate about Natural Language Processing and Generative AI? Do you enjoy collaborating with both technical and business teams to turn innovative ideas into impactful solutions? Can you communicate complex concepts clearly and drive research that delivers real business value? If so, we have an exciting opportunity for an AI Engineer/Data Scientist to join EPAM’s AI Consulting team, focusing on cutting-edge R&D in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and domain-specific GenAI applications. If you’re ready to push the boundaries of NLP and GenAI and want to make a tangible impact, we’d love to hear from you!
responsibilities
Design, implement and maintain scalable NLP and GenAI pipelines including data processing, preprocessing and evaluation
Conduct advanced data analysis on real-world datasets to extract actionable insights and support decision-making
Stay current with the latest research in LLMs and NLP, proposing new ideas and methodologies to unlock business value
Develop and optimize RAG systems and retrieval pipelines including chunking, embedding, re-ranking and evaluation
Lead and contribute to experiments by designing experimental details, writing reusable code, running evaluations and organizing results
Collaborate with cross-functional teams to prioritize research that directly benefits key internal use cases and products
Work closely with stakeholders, project managers and architects to gather requirements, plan project scopes and deliver projects on time
requirements
MSc with 5+ years of experience or Ph.D. in computer science, electrical engineering or a related technical field
Deep understanding of NLP, LLMs, transformer architectures, prompt engineering, RAG and evaluation methodologies
Strong Python programming skills for developing and debugging AI models
Hands-on experience building and evaluating RAG and GenAI systems in production-like environments
Experience training, fine-tuning or experimenting with foundation models
Track record of contributions to publications or open-source projects
Excellent communication skills and a collaborative mindset
Experience mentoring or collaborating with other researchers
Strong interest in cross-disciplinary collaboration to support impactful research
Ability to work effectively across teams and deliver projects within agreed timelines
Are you passionate about Natural Language Processing and Generative AI? Do you enjoy collaborating with both technical and business teams to turn innovative ideas into impactful solutions? Can you communicate complex concepts clearly and drive research that delivers real business value? If so, we have an exciting opportunity for an AI Engineer/Data Scientist to join EPAM’s AI Consulting team, focusing on cutting-edge R&D in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and domain-specific GenAI applications. If you’re ready to push the boundaries of NLP and GenAI and want to make a tangible impact, we’d love to hear from you!
responsibilities
Design, implement and maintain scalable NLP and GenAI pipelines including data processing, preprocessing and evaluation
Conduct advanced data analysis on real-world datasets to extract actionable insights and support decision-making
Stay current with the latest research in LLMs and NLP, proposing new ideas and methodologies to unlock business value
Develop and optimize RAG systems and retrieval pipelines including chunking, embedding, re-ranking and evaluation
Lead and contribute to experiments by designing experimental details, writing reusable code, running evaluations and organizing results
Collaborate with cross-functional teams to prioritize research that directly benefits key internal use cases and products
Work closely with stakeholders, project managers and architects to gather requirements, plan project scopes and deliver projects on time
requirements
MSc with 5+ years of experience or Ph.D. in computer science, electrical engineering or a related technical field
Deep understanding of NLP, LLMs, transformer architectures, prompt engineering, RAG and evaluation methodologies
Strong Python programming skills for developing and debugging AI models
Hands-on experience building and evaluating RAG and GenAI systems in production-like environments
Experience training, fine-tuning or experimenting with foundation models
Track record of contributions to publications or open-source projects
Excellent communication skills and a collaborative mindset
Experience mentoring or collaborating with other researchers
Strong interest in cross-disciplinary collaboration to support impactful research
Ability to work effectively across teams and deliver projects within agreed timelines
We are looking for a talented and experienced Data Scientist to work on generative artificial intelligence solutions for various industries and use cases. You will use your machine learning skills to solve non-trivial business problems for EPAM clients who want to leverage the latest advances in Data Science and Machine Learning by applying them to text, images, video, and other data. You will work with cross-functional teams of engineers, scientists, and product managers, being a key part of driving generative AI from concept to implementation.
responsibilities
Be a leader in generative AI and identify business scenarios for which generative AI can be effectively applied
Research, develop, and prototype novel approaches to generative AI, conduct use case assessments, research existing research papers, implement and validate it for real-world use cases
Work closely with the ML engineering team at all stages (from research to implementation of generative AI)
Collaborate with product managers and other business stakeholders to form a clear vision of the technology and its real-world capabilities
Present your results to stakeholders and clearly communicate both the technical and business parts of the solution
requirements
5+ years of experience in Data Science with application to the development of generative models (LLMs, GANs, VAE, Diffusion models)
Experience with Computer vision, Natural Language Processing problems, experience with multimodal data (images, texts, audio, other data)
Experience in using Open AI GPTx, experience in training
Experience in writing ready-to-implement code using best engineering practices
Programming skills in Python
Skills with at least one of the common deep learning frameworks such as Pytorch, Tensorflow, etc.
Experience in optimizing the production of deep learning models
Experience with at least one cloud platform (AWS, Azure, GCP)
Excellent communication skills
Knowledge of written and spoken English at Upper-Intermediate level and above (B2+)
Join our team as a Senior Data Scientist and collaborate with some of EPAM’s largest clients! Every business generates data, but transforming that data into actionable insights and a competitive edge requires expertise. In this role, you will design and implement advanced analytical models and tools that empower organizations to make informed, data-driven decisions, address current challenges, and prepare for future opportunities.
responsibilities
Analyze large volumes of structured and unstructured data using advanced analytical and machine learning techniques
Develop, validate, and deploy descriptive and predictive models to drive business decisions
Translate complex data analyses into actionable business insights and value
Design and deliver high-quality data visualizations to communicate findings
Collaborate cross-functionally with product managers, engineers, and other stakeholders to present data-driven recommendations
Mentor and train team members and stakeholders on data science concepts and best practices
Estimate, plan, and coordinate the delivery of mid-sized data science projects
Evaluate and select appropriate data science tools, libraries, and solution architectures
Propose and implement holistic data science solutions tailored to client needs
requirements
3+ years of experience in data mining, statistics or machine learning
Strong problem-solving skills and a data-driven mindset
Solid foundation in applied mathematics, statistical analysis, and machine learning
Excellent communication and presentation skills, including working proficiency in English
Proficiency in SQL and relational databases
Programming experience, preferably in Python
Hands-on experience with data analysis tools and libraries (e.g., NumPy, SciPy, scikit-learn, pandas, matplotlib, R, SAS, SPSS, MATLAB)
Experience with Big Data technologies (e.g., Spark, MLlib)
Proficiency with at least one major cloud platform
Experience deploying data science solutions to production environments
Strong data visualization skills
Bachelor’s or Master’s degree in Computer Science, Mathematics, Applied Statistics or a related field
Strong written and verbal English communication skills (B2+)
nice to have
Experience with NLP, text mining or computer vision
We are seeking a talented and experienced Data Scientist to work on generative AI solutions across various industries and use cases. You will leverage your machine learning expertise to tackle complex business challenges for EPAM's clients, applying the latest advancements in data science and AI to texts, images, videos, and other data types. You will collaborate with cross-functional teams of engineers, scientists, and product managers, playing a key role in advancing generative AI from concept to implementation.
responsibilities
Act as a leader in generative AI, identifying business scenarios where generative AI can be effectively applied
Research, design, and prototype cutting-edge generative AI approaches, evaluate their feasibility, explore existing scientific research, and implement and validate solutions for real-world use cases
Collaborate closely with the ML engineering team across all stages, from research to the implementation of generative AI solutions
Work with product managers and other business stakeholders to shape a clear vision of the technology and its practical applications
Present results to stakeholders, effectively communicating both the technical and business aspects of the solutions
requirements
3+ years of experience in Data Science, focusing on developing generative models (LLMs, GANs, VAEs, Diffusion models)
Experience with computer vision and natural language processing, including working with multimodal data (images, text, audio, and more)
Familiarity with OpenAI GPT-x and experience in fine-tuning models
Proven ability to write production-ready code using best engineering practices
Strong programming skills in Python
Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc.
Experience optimizing deep learning models for production
Hands-on experience with at least one cloud platform (e.g., AWS, Azure, GCP)
Excellent communication skills
Written and spoken English proficiency at Upper-Intermediate (B2) level or higher
We are seeking a talented and experienced Data Scientist to work on generative AI solutions across various industries and use cases. You will leverage your machine learning expertise to tackle complex business challenges for EPAM's clients, applying the latest advancements in data science and AI to texts, images, videos, and other data types. You will collaborate with cross-functional teams of engineers, scientists, and product managers, playing a key role in advancing generative AI from concept to implementation.
responsibilities
Act as a leader in generative AI, identifying business scenarios where generative AI can be effectively applied
Research, design, and prototype cutting-edge generative AI approaches, evaluate their feasibility, explore existing scientific research, and implement and validate solutions for real-world use cases
Collaborate closely with the ML engineering team across all stages, from research to the implementation of generative AI solutions
Work with product managers and other business stakeholders to shape a clear vision of the technology and its practical applications
Present results to stakeholders, effectively communicating both the technical and business aspects of the solutions
requirements
5+ years of experience in Data Science, focusing on developing generative models (LLMs, GANs, VAEs, Diffusion models)
Experience with computer vision and natural language processing, including working with multimodal data (images, text, audio, and more)
Familiarity with OpenAI GPT-x and experience in fine-tuning models
Proven ability to write production-ready code using best engineering practices
Strong programming skills in Python
Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc.
Experience optimizing deep learning models for production
Hands-on experience with at least one cloud platform (e.g., AWS, Azure, GCP)
Excellent communication skills
Written and spoken English proficiency at Upper-Intermediate (B2) level or higher
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