Gen AI Developer

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

Job Description Must Have Technical/Functional Skills

Experience

• Experience in machine learning, data science, or related fields.
• Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).
• Strong programming skills in Python (preferred) or similar languages.
• Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment.
• Understanding of NLP, computer vision, or multimodal AI techniques.
• Strong problem-solving skills and a passion for AI-driven innovation.
• Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Responsibilities

Model Development and Deployment:

• Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
• Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI.
• Data Pipeline Management:
• Develop and maintain robust data pipelines for model training and inference.
• Clean, preprocess, and manage large-scale datasets to support AI projects.
• Integration and Scalability:
• Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face.
• Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, GCP).
• Collaboration and Innovation:
• Work with product managers, data engineers, and software developers to align AI solutions with business objectives.
• Stay updated with the latest research and advancements in Gen AI and ML.
• System Monitoring and Maintenance:
• Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
• Ensure systems meet ethical, privacy, and compliance standards

Salary Range: $110,000 – $130,000 per year

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications

BACHELOR OF COMPUTER SCIENCE