Tata Consultancy Services (TCS)

AI ML Engineer

Full-time $80k - $100k Posted about 2 months ago

Role overview

Role - AI ML Engineer

Experience Required - 2+ Years

Responsibilities

  • check_circle Develop and deploy machine learning models, ensuring robust implementation, validation, and governance standards
  • check_circle Build and optimize solutions using Python, SQL, Java, and modern frameworks (e.g., Next.js)
  • check_circle Agentic AI, Agent Architecture, orchestration and tool use
  • check_circle Develop and manage scalable data platforms and pipelines using Snowflake and Kafka
  • check_circle Manage containerized and scalable infrastructure using Docker and Apache ecosystem tools
  • check_circle Establish and maintain CI/CD pipelines using GitHub to automate build, test, and deployment processes
  • check_circle Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions

Basic qualifications

  • Python
  • SQL
  • Java
  • Next.Js
  • Snowflake
  • Kafka

Preferred qualifications

  • Artificial Intelligence

Benefits

  • check_circle Discretionary Annual Incentive.
  • check_circle Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • check_circle Family Support: Maternal & Parental Leaves.
  • check_circle Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • check_circle Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • check_circle Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • check_circle Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Tags & Focus Areas

Ai Machine Learning

About Tata Consultancy Services (TCS)

Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine Learning & Deep Learning Data Wrangling & Database Management Data Visualization & Storytelling Cloud Platforms & Services Big Data Technologies Natural Language Processing (NLP) MLOps (Machine Learning Operations) & Software Engineering Practices Data Governance & Ethics Experimentation & A/B Testing Locations: San Jose-CA, RTP-NC, Austin-TX, Dallas-TX.

Industry Ai Engineer
HQ San Jose, US