Senior/Lead Generative AI Data Scientist

EPAM Systems Inc; United States; Remote; USD 140.000 - 210.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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

Aufgaben

• 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

Kenntnisse

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

Jobbeschreibung

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