Gen AI Engineer – LLMs, Diffusion, & Production ML

Tata Consultancy Services; Seattle (WA); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Parental Leaves

Identity Theft Protection

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services in Seattle seeks a senior AI engineer to design, fine-tune, and deploy generative AI models for diverse applications. You will train LLMs for NLP tasks, build scalable data pipelines, and integrate models into production across cloud environments.

The role requires strong Python skills, experience with Hugging Face and ML frameworks, and a passion for AI-driven innovation in a fast-paced team.

Qualifications

• Experience in machine learning, data science, or related fields.
• Hands-on with generative models and LLMs.
• Proficiency with ML frameworks and cloud environments.
• Strong Python skills and AI tooling familiarity.

Responsibilities

• Design, fine-tune, and deploy generative AI models for applications.
• Train and optimize large language models for NLP tasks.
• Develop robust data pipelines for training and inference.
• Integrate models into production using TensorFlow, PyTorch, or Hugging Face.
• Optimize models for performance on AWS, Azure, and GCP.
• Collaborate with product, data, and software teams to meet objectives.
• Monitor models, plan retraining, and manage versioning.

Skills

Machine learning

Data science

Generative models

LLMs

ML frameworks

Cloud environments

Python

Hugging Face

LangChain

NVIDIA BioNeMo

Docker

Kubernetes

CI/CD

NLP

Computer vision

Multimodal AI

RAG

Vector databases

Education

Bachelor of Computer Science

Tools

TensorFlow

PyTorch

JAX

AWS SageMaker

Azure ML

GCP AI Platform

Job description

Tata Consultancy Services in Seattle seeks a senior AI engineer to design, fine-tune, and deploy generative AI models for diverse applications. You will train LLMs for NLP tasks, build scalable data pipelines, and integrate models into production across cloud environments.

The role requires strong Python skills, experience with Hugging Face and ML frameworks, and a passion for AI-driven innovation in a fast-paced team.