Machine Learning Engineer

Tata Consultancy Services · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Python · 1 day ago

Smart Apply

Similar jobs

2,246,192open jobs

144,494companies

256,520added this week

Browse all

Location

In office (Pittsburgh)

Visa

Sponsors visas in Ireland, United Kingdom; no register of this country names it

Employment

Full-Time

First seen by Alion on Nov 12, 2026. Tata Consultancy Services scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian IT services and consulting company headquartered in Mumbai and part of the Tata Group. Founded in 1968, it is listed on the BSE and the National Stock Exchange of India and is one of the largest IT services companies in the world by revenue and headcount, with about 600,000 employees. It provides application development and maintenance, cloud and infrastructure services, enterprise platform implementation, cybersecurity, consulting and business process services to large enterprises across North America, Europe and Asia-Pacific.

tcs.com · HQ: Mumbai, India · Management Consulting · Systems Integrators · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · 5000+ employees · Est. 1968

Tech stack of Tata Consultancy Services

Skills and Qualifications:

Strong hands-on experience in Machine Learning, Artificial Intelligence, and Generative AI development.
Proven experience implementing AI/ML solutions in production environments.
Hands-on experience working with Large Language Models (LLMs) and Generative AI applications.
Experience developing agentic AI solutions and multi-step AI workflows.
Strong programming skills in Python, including development of APIs, services, and ML/AI pipelines.

Experience with LLM application patterns such as:

Retrieval-Augmented Generation (RAG)
Prompt engineering
Tool/function calling
AI agents
Model orchestration
Embeddings and vector search
LLM evaluation and monitoring

Exposure to frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Hugging Face, or similar.
Experience working with REST APIs, microservices, data pipelines, and enterprise integration patterns.
Understanding of MLOps/LLMOps, CI/CD pipelines, automated testing, version control, deployment, and model monitoring.
Experience with Git, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, or comparable SDLC technologies.
Knowledge of cloud-based AI/ML platforms such as Microsoft Azure/Azure AI, AWS/SageMaker/Bedrock, or Google Cloud/Vertex AI.
Experience designing AI/ML solutions within model governance, model risk management, security, privacy, and regulatory frameworks.
Strong analytical and troubleshooting skills for supporting models and AI applications in production.
Strong communication and stakeholder-management skills, with the ability to work directly with internal clients to collect requirements and translate them into technical solutions.
Experience supporting release planning, implementation, production deployments, and post-release activities.

Roles & Responsibilities:

Design, develop, orchestrate, and implement production-grade Machine Learning and Generative AI solutions.
Build applications and services leveraging LLMs, Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
Develop and integrate AI agents and workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies.
Evaluate and integrate foundation models and enterprise AI platforms based on business, security, performance, and governance requirements.
Implement SDLC tooling and engineering harnesses to improve developer productivity, testing, deployment consistency, and overall team efficiency.
Partner with internal clients and business stakeholders to elicit, analyze, and translate requirements into technical designs and implementation plans.
Communicate technical requirements, solution designs, dependencies, and delivery expectations across engineering and business teams.
Develop model pipelines covering data preparation, model integration, orchestration, testing, evaluation, deployment, monitoring, and ongoing support.
Design solutions with model governance, responsible AI, risk management, security, auditability, and regulatory compliance incorporated throughout the development lifecycle.
Support AI/ML models and services deployed within production applications, including troubleshooting, performance monitoring, and continuous improvement.
Establish appropriate LL M evaluation and monitoring mechanisms, including model quality, hallucination risk, latency, reliability, and operational performance.
Participate in release planning, release coordination, deployment activities, and hands-on production support during release windows.
Collaborate with engineering, architecture, infrastructure, security, data, risk, and governance teams to ensure solutions meet enterprise standards.
Maintain technical documentation covering solution architecture, model behavior, dependencies, deployment procedures, testing, and operational support.

Free account

Stop reading job ads. Get the ones that fit.

One free account turns this page into a shortlist built around your stack, your level and your pay.

Match on every job. Stack, seniority, pay and location, scored against your profile.

2,246,192 open roles. Read straight off company career pages, refreshed every day.

Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.

3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.

Create a free account Continue with Google

Free forever. No card. Under a minute.

Your match

How well do you fit this role?

Two answers are enough for a real match. No account needed.

Check my fit

Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML

Remote, many countries

Similar stack

Same company

Pittsburgh

Staff Researcher, Rolling Research (Slack) 1 day ago

$149k – $260k per year · In office · Full-Time · 7+ years exp · PhD · San Francisco · New York · Atlanta · Washington

AI/ML

AI Agents

Agentforce

Apply