For W2 - AI/ML Engineer

Key Responsibilities

- Develop and deploy
end-to-end AI/ML solutions using Microsoft Foundry and Azure AI services
.
- Select, evaluate, and implement
foundation models (OpenAI, Claude, Llama, Mistral, etc.)
from the Foundry model catalog.
- Design
intelligent agents and multi-agent workflows
using Foundry Agent Service and frameworks such as
LangGraph, Semantic Kernel, and AutoGen
.
- Build
Retrieval-Augmented Generation (RAG)
solutions using
Azure AI Search / Foundry IQ
for knowledge-based AI applications.
- Fine-tune and optimize
large language models
using techniques like
LoRA, QLoRA, and full fine-tuning
.
- Develop
evaluation pipelines and quality monitoring
for model performance, alignment, and safety.
- Integrate AI solutions with enterprise platforms such as
SAP, Salesforce, Dynamics 365
, and other APIs.
- Implement
AI governance, security, and monitoring
using Azure services including
Entra ID, Azure Policy, and Microsoft Defender
.
- Work closely with stakeholders to translate business requirements into
AI architecture and production-ready solutions
.

Required Skills

- 7+ years of experience
in AI/ML, Data Science, or Machine Learning Engineering.
- Hands-on experience with
Azure AI Foundry / Microsoft AI platform
.
- Strong understanding of
LLMs, transformer architecture, prompt engineering, and model optimization
.
- Experience building
RAG systems, vector search, embeddings, and semantic retrieval pipelines
.
- Proficiency in
Python
and ML frameworks such as
PyTorch or TensorFlow
.
- Experience with
MLOps practices
including model versioning, CI/CD pipelines, and monitoring.

Preferred Qualifications

- Microsoft certifications such as
AI-102, DP-100, or AZ-305
.
- Experience with
multi-modal AI (vision, speech, text)
and generative AI solutions.
- Exposure to other AI platforms such as
AWS SageMaker or Google Vertex AI
.
- Background in industries like
financial services, healthcare, or manufacturing
.

Education

- Bachelor’s degree in
Computer Science, Data Science, Engineering, or related field
.
- Master’s or PhD in
AI/ML or Data Science
is a plus.