Machine Learning Software Engineer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • 10 hours ago
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Salary
≈ $30k – $72k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026.

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Tata Consultancy Services

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.
tcs.com • HQ: Mumbai, India • Management Consulting • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1968
Tech stack of Tata Consultancy Services

Role: Engineer. Skills: Generative AI, Machine Learning. Experience: 10 - 12 Years. Qualification: Bachelor Of Technology

Role: Machine Learning Software Engineer - GenAI Applications

Experience: 10-12 years

Location: Hyderabad

Must-Have skills:

Architect and develop agentic workflows enabling multi-agent orchestration across GenAI applications.

Strong hands-on experience with Python (3.8-3.12), backend development, REST APIs, and Microservices.

Experience integrating and evaluating LLMs such as GPT-4, GPT-5, Claude, and Llama using frameworks like OpenAI Responses API and LangChain.

Expertise in Prompt Engineering, LLM optimization, analytics feedback systems, and AI-powered application development.

Strong experience with AWS, Docker, Kubernetes, CI/CD pipelines, infrastructure as code, observability, and security best practices

Good to have skills:

Experience with fraud detection, intelligent automation, and conversational AI platforms.

Exposure to multi-agent frameworks and parallel model onboarding.

Experience with Confluence, release planning, and PR tracking systems.

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