Live opening · Posted 8 days ago

GEN AI Engineer

Tata Consultancy Services Limited · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 8 days ago
CompanyTata Consultancy Services Limited
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SourceLinkedin
Listed8 days ago

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About the role

Description supplied by the original job listing.

Greetings from TCS..!!
TCS is conducting Walk-in-drive for the role "GEN AI Engineer"
Experience : 3 to 5 years
Location : Hyderabad
Location details : TCS Rajapushpa Paradigm on ISB Road in the Financial District, Nanakramguda, Hyderabad, Telangana 500032
Interview Mode : Face to face Interview
Timing : 9:30 AM to 12:30 PM
SPOC : Divya Mukundan
We are seeking a highly skilled Generative AI, AI/ML, and Python Developer to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will have hands-on experience in Python development, Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI technologies, and cloud-based AI solutions.
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions.
Build and integrate applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
Develop AI-powered chatbots, virtual assistants, and automation solutions.
Implement RAG architectures using vector databases.
Fine-tune, evaluate, and optimize foundation models and machine learning models.
Develop REST APIs and microservices using FastAPI or Flask.
Create scalable data pipelines for training, inference, and model monitoring.
Implement MLOps practices for deployment, monitoring, and maintenance.
Required Technical Skills
Programming: Python (Advanced), SQL, Git/GitHub/Azure DevOps
AI/ML: Machine Learning, Deep Learning, NLP, Model Training & Optimization
Generative AI: LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, AI Agents, Vector Databases
Frameworks: FastAPI, Flask, Django (Preferred)
Cloud: Azure AI Services, Azure OpenAI, AWS AI/ML, Google Cloud AI
MLOps: Docker, Kubernetes, CI/CD, MLflow, Monitoring

Work arrangement
No

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