Job Description

We are looking for a highly skilled

AI/ML Engineer

with deep expertise in

Microsoft Azure

and

Generative AI (GenAI)

technologies. This role involves designing, developing, and deploying cutting-edge AI solutions using LLMs, RAG systems, and MLOps best practices, all within the Microsoft ecosystem.

The ideal candidate will have hands-on experience with

LangChain

,

LangGraph

,

Azure Machine Learning

, and

vector databases

, and will play a pivotal role in building scalable, secure, and production-grade AI systems.

Key Responsibilities:

Design, develop, and deploy AI/ML models using

Python

,

Azure Machine Learning

, and

Generative AI frameworks

. Build

LLM-powered applications

using tools like

LangChain

,

LangGraph

,

FAISS

, and

Pinecone

. Implement and maintain

RAG (Retrieval-Augmented Generation)

workflows in production environments. Integrate AI solutions with

Azure services

such as

Functions

,

Data Lake

,

Synapse

, and

Cognitive Services

. Apply

MLOps

principles using

Azure DevOps

,

Docker

, and

CI/CD pipelines

for robust model lifecycle management. Monitor and optimize model performance ensuring

accuracy

,

scalability

, and

reliability

. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Ensure adherence to

security

,

compliance

, and

governance

in all AI solution deployments. Stay updated on the latest in

Azure AI

,

Generative AI

, and

machine learning trends

.

Required Qualifications & Skills:

Bachelor's or Master's degree in

Computer Science

,

AI/ML

,

Data Science

, or related field.

5+ years

of hands-on experience in

AI/ML model development

using

Python

. Experience with

Large Language Models (LLMs)

like GPT, Gemini, or similar.

1+ years

of experience with

Generative AI

and

RAG-based systems

in production. Proficiency with

LangChain

,

LangGraph

, and vector DBs (

FAISS

,

Pinecone

). Solid understanding of

deep learning

and

NLP architectures

(Transformers, CNNs, RNNs). Practical knowledge of

PyTorch

,

TensorFlow

,

Keras

,

Scikit-learn

,

Pandas

, and

NumPy

. Experience with

Azure AI stack

(Azure ML, Azure Functions, Azure DevOps). Familiarity with

Docker

,

REST APIs

, and

CI/CD pipelines

. Excellent

problem-solving

,

analytical

, and

communication

skills.

Preferred / Nice-to-Have:

Azure Certifications

- Azure AI Engineer Associate or Azure Data Scientist Associate. Experience with

MLOps frameworks

and

model lifecycle management

. Knowledge of

healthcare data standards

(e.g., X12, HL7). Familiarity with

Power BI

or other

Microsoft analytics tools

.
Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ₹100,000.00 - ₹120,000.00 per month

Benefits:

Work from home
Work Location: Remote