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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