AI ML Engineer

Tata Consultancy Services

Malvern (Chester County)

On-site

USD 130,000 - 135,000

Full time

10 hours ago
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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

  • Machine Learning, Deep Learning, NLP
Job Description
Must Have Technical/Functional Skills

Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture

  • Python, PySpark, SQL
  • Machine Learning, Deep Learning, NLP
  • Generative AI, LLMs, Prompt Engineering
  • Amazon Bedrock, AWS SageMaker
  • RAG (Retrieval Augmented Generation), AI Agents
  • LangChain, LangGraph, LlamaIndex
  • AWS Services: S3, Lambda, IAM, RDS, CloudWatch
  • MLOps, MLflow, CI/CD Pipelines
  • Docker, Kubernetes, Terraform
  • REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
  • Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
  • Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
  • Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
  • Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.
Generic Managerial Skills, If any
  • Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
  • Effective communication with business and technical stakeholders.
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.
  • Salary Range: $130,000 - $135,000 a year
Qualifications:

BACHELOR OF COMPUTER SCIENCE

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