Generative AI Lead Scientist — Multimodal & Production ML

EPAM Systems Inc; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

EPAM Systems is seeking a Data Scientist to lead generative AI initiatives across industries, applying ML to texts, images, videos, and other data types, and guiding concepts from research to production with engineers, scientists, and product managers.

The role emphasizes designing and prototyping cutting-edge generative approaches, working with stakeholders to shape practical applications, and communicating results to both technical and business audiences.

Qualifications

• 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
• 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

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

Skills

Generative modeling

Multimodal data

Python

Deep learning frameworks

Cloud platforms

OpenAI GPT

NLP

Computer vision

Production-ready code

Communication

English proficiency

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

EPAM Systems is seeking a Data Scientist to lead generative AI initiatives across industries, applying ML to texts, images, videos, and other data types, and guiding concepts from research to production with engineers, scientists, and product managers.

The role emphasizes designing and prototyping cutting-edge generative approaches, working with stakeholders to shape practical applications, and communicating results to both technical and business audiences.