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Azure Generative AI Engineer
Azure Generative AI EngineerLTIMindtree • Delhi, India
Azure Generative AI Engineer

Azure Generative AI Engineer

LTIMindtree • Delhi, India
15 days ago
Job description

Azure Generative AI Engineer

Experience : 5 - 12 years

Location : Pan India

Required Skills & Qualifications :

Strong programming experience in Python , including frameworks such as

FastAPI

and

Flask .

Deep understanding of

Generative AI ,

LLMs , and

RAG (Retrieval-Augmented Generation)

methodologies.

Proficiency in

Azure cloud services , especially

Azure OpenAI ,

Functions ,

AI Search , and

Cosmos DB .

Hands-on experience with

machine learning ,

deep learning , and

natural language processing (NLP) .

Familiarity with ML / DL frameworks such as

TensorFlow ,

PyTorch , and libraries like

scikit-learn ,

spaCy , etc.

Solid knowledge of machine learning algorithms including

GPTs ,

CNNs ,

RNNs ,

k-NN ,

Naive Bayes ,

SVM , and

Decision Forests .

Experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices.

Key Responsibilities :

Design, develop, and deploy Generative AI applications using

Python ,

FastAPI ,

Azure Durable Functions , and

Azure OpenAI Services .

Build and implement

Retrieval-Augmented Generation (RAG)

pipelines for enterprise AI applications.

Work on

end-to-end Generative AI projects , including data ingestion, model integration, evaluation, and refinement.

Integrate AI / ML search and data services such as

Azure Cognitive Search ,

Cosmos DB , and other Azure-native tools.

Automate key components of the RAG workflow and ensure production-grade performance and scalability.

Evaluate, validate, and fine-tune the outputs of Generative AI models for accuracy and relevance.

Implement

monitoring ,

observability , and

guardrails

to ensure responsible and secure use of AI technologies.

Collaborate with cross-functional teams to deliver innovative AI solutions.

Soft Skills :

Excellent communication

Team collaboration

Documentation and knowledge sharing

Education : Bachelor's / Master’s in Computer Science or equivalent

Certifications : GCP Professional Cloud Developer / Microsoft Azure Certified Developer

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