Generative AI & ML Engineer (AWS SageMaker)

Tata Consultancy Services; Malvern (Chester County); On-site; USD 130,000 - 135,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage (Dental & Vision)

Time Off & Holidays

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services in Malvern, PA is seeking a skilled AI/ML Engineer to design, develop, and deploy Generative AI solutions on AWS Bedrock and SageMaker. You will build scalable data pipelines, RAG workflows, and AI agents while collaborating with cross-functional teams to ensure secure, production-grade deployment, governance, and cost optimization.

The role requires hands-on experience with Python, PySpark, SQL, and MLOps, and a Bachelor of Computer Science.

Qualifications

• Bachelor's degree required in Computer Science or a closely related field.
• Strong experience designing, developing, and deploying Generative AI/ML on AWS Bedrock/SageMaker.
• Proficiency with Python, PySpark, SQL and MLOps pipelines.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions on AWS Bedrock/SageMaker, Lambda, and S3.
• Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows.
• Develop scalable data pipelines and MLOps frameworks for training, deployment, monitoring, and improvement.
• Collaborate with business, data engineering, and cloud teams to deliver secure, production-grade AI solutions with governance and cost optimization.

Skills

Machine Learning

Deep Learning

NLP

Generative AI

LLMs

Prompt Engineering

RAG

AI Agents

MLOps

CI/CD

Model Deployment

Monitoring

Education

Bachelor of Computer Science

Tools

Python

PySpark

SQL

Amazon Bedrock

AWS SageMaker

LangChain

LangGraph

LlamaIndex

S3

Lambda

IAM

RDS

CloudWatch

MLflow

CI/CD Pipelines

Docker

Kubernetes

Terraform

REST APIs

FastAPI

Job description

Tata Consultancy Services in Malvern, PA is seeking a skilled AI/ML Engineer to design, develop, and deploy Generative AI solutions on AWS Bedrock and SageMaker. You will build scalable data pipelines, RAG workflows, and AI agents while collaborating with cross-functional teams to ensure secure, production-grade deployment, governance, and cost optimization.

The role requires hands-on experience with Python, PySpark, SQL, and MLOps, and a Bachelor of Computer Science.