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
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 seeking a talented and experienced Senior 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
Lead initiatives in generative AI, identifying business scenarios where generative AI can be effectively applied
Research, design, and prototype cutting-edge generative AI approaches
Evaluate the feasibility of generative AI solutions for real-world use cases
Explore and analyze existing scientific research to inform solution development
Implement and validate generative AI solutions for diverse business challenges
Collaborate closely with the ML engineering team throughout all stages, from research to implementation
Work with product managers and business stakeholders to shape a clear vision of generative AI technology and its practical applications
Present results to stakeholders, effectively communicating both technical and business aspects of solutions
requirements
Minimum 3 years of relevant experience in Data Science, focusing on developing generative models such as LLMs, GANs, VAEs, and Diffusion models
Experience with computer vision and natural language processing, including working with multimodal data such as images, text, and audio
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 or TensorFlow
Experience optimizing deep learning models for production
Hands-on experience with at least one cloud platform, such as AWS, Azure, or GCP
Excellent communication skills
Fluent English skills (written and spoken) at a B2+ level or higher
nice to have
Experience with additional generative AI architectures and emerging techniques
Knowledge of reinforcement learning and self-supervised learning approaches
Familiarity with MLOps tools and practices for deploying and monitoring AI models
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+)
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
We are seeking an experienced Senior Data Scientist to take a leading role in building generative AI solutions for a wide range of industries and business challenges. In this position, you will leverage your machine learning background to address complex problems for EPAM’s clients, applying the latest AI and data science techniques to diverse data types including text, images, and video. You will partner with cross-functional teams of engineers, scientists, and product experts, helping to transform generative AI concepts into impactful, real-world applications.
responsibilities
Lead the identification of promising business cases where generative AI can deliver significant value
Design, implement, and iterate on innovative generative AI models and solutions
Evaluate the effectiveness and business impact of generative AI systems in practical settings
Stay current with scientific advancements and integrate relevant research into project strategies
Build and validate generative AI applications tailored to client requirements
Work closely with ML engineers throughout the solution lifecycle, from ideation to deployment
Collaborate with product managers and business stakeholders to define priorities and use cases for generative AI
Communicate project outcomes to stakeholders, translating technical results into business insights
requirements
Three or more years of experience in Data Science, specializing in generative model development such as LLMs, GANs, VAEs, or Diffusion models
Background in computer vision and NLP, with hands-on work involving multimodal data like images, text, and audio
Direct experience with OpenAI GPT-x and expertise in model fine-tuning
Ability to produce clean, maintainable, and production-grade code using best practices
Advanced proficiency in Python
Skilled in at least one deep learning framework, for example PyTorch or TensorFlow
Experience in optimizing and deploying deep learning models for real-world use
Familiarity with at least one major cloud platform, such as AWS, Azure, or GCP
Excellent written and verbal communication skills
English language skills at B2+ level or higher
nice to have
Knowledge of additional generative AI frameworks and the latest industry trends
Experience with reinforcement learning and self-supervised learning methods
Understanding of MLOps tools and best practices for deploying and managing AI models
We are seeking an experienced Lead Data Scientist to guide our cross-location team in the development of Artificial Intelligence models and data analysis solutions. As the Lead Data Scientist, your role will include overseeing the entire data mining process, from data collection and cleansing to exploratory analysis. You will be tasked with devising solutions and strategies to address business challenges and developing Artificial Intelligence models like Machine Learning. Your expertise in data science will be crucial in leading our team to success and providing value to our clients.
responsibilities
Collaborate with EPAM’s clients and teams to shape the technology vision for AI/ML-driven solutions
Oversee the data mining process, including data collection, cleansing, and exploratory analysis
Devise solutions and strategies to address business challenges
Work with cross-functional teams to deliver value to our clients
Keep up-to-date with the latest trends in data science and Artificial Intelligence
Mentor and develop junior team members
Promote thought leadership in the data science and Artificial Intelligence domains
Develop holistic Data Science solutions for customer issues
requirements
Minimum of 7 years of experience in data science, including at least 2 years in a leadership capacity
Proven background in data analysis, data mining, and exploratory analysis
Expertise in Artificial Intelligence models such as Machine Learning, Deep Learning, and Natural Language Processing
Proficiency in Cloud Services (AWS, GCP, Azure)
Programming skills (Python preferred)
Strong leadership and team management capabilities, with a talent for inspiring and motivating teams
Exceptional communication and presentation skills, adept at explaining complex technical concepts to non-technical audiences
Fluency in English
Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics, or a related field
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
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