C2C- CGEMJP00319235 -Lead ML Engineer With Heavy Azure-Princeton, NJ (Fully Onsite)

[Chandan Khandelwal]

Hi,
Hope you’re doing well.

My name is Chandan and I am a Recruitment Manager from Empower
Professionals Inc. We are sourcing for a ML Engineer With Heavy Azure
role located at Princeton, NJ (Fully Onsite) and it is a long term
contract for at least 12 months and can be extended further as well.



If you’re skills match the job description, please share your updated
resume along with your location and expected rate so that I can get in
touch with you for further process.



CGEMJP00319235

Role: Lead ML Engineer With Heavy Azure

Locations: Princeton, NJ (Fully Onsite)

Duration: 12+ Months Contract


Note: Candidate needs to be in the office 5 Days every week. Local or
candidates from adjacent states only.



Job Description:

We are seeking a candidate with 8+ years of experience in Data
Engineering and Machine Learning, with strong expertise in Azure Data
Platform and hands-on experience in LLM-based solutions and
Retrieval-Augmented Generation (RAG) architectures.
The ideal candidate will design, implement, and optimize data and AI
solutions leveraging Microsoft Azure and modern AI frameworks.



Responsibilities:

Design and develop data ingestion pipelines from source systems
using Azure Databricks and Azure Data Factory into the Azure Analytics
Platform.
Build and optimize ETL/ELT pipelines for structured and unstructured
data.
Develop and deploy LLM-powered applications, including RAG-based
solutions for enterprise use cases.
Implement vector databases and embedding-based retrieval systems to
support RAG workflows.
Integrate LLMs with Azure services (e.g., Azure OpenAI, Cognitive
Search) for intelligent data processing and insights.
Apply Python, PySpark, and modern ML frameworks to build scalable AI
solutions.
Provide technical design and coding guidance to the team to achieve
project deliverables.
Ensure CI/CD integration using Azure DevOps for ML and data
pipelines.
Collaborate with business stakeholders to gather requirements and
translate them into technical solutions.
Stay current with AI/ML trends, including Generative AI, LLM
fine-tuning, and prompt engineering.



Skills & Expertise:

Azure Data Factory, Azure Databricks, Azure DevOps, Azure
Storage/Data Lake
ETL & ELT, Data Warehousing, SQL, Relational Databases
Python, PySpark, and ML frameworks (e.g., Hugging Face, LangChain)
LLM development and deployment (Azure OpenAI, or similar)
RAG architecture design, Vector Databases (e.g., Pinecone, Weaviate,
FAISS)
Prompt Engineering, LLM Fine-tuning, and Model Evaluation
Experience with Cloud Platforms (Azure is a must)



Preferred Qualifications:

Experience with MLOps for LLMs, including model lifecycle management
and monitoring.
Knowledge of semantic search, embedding optimization, and knowledge
graph integration.
Familiarity with distributed systems and scalable AI architectures.
Understanding of data governance, security, and compliance in AI/ML
solutions.
Strong problem-solving skills and ability to architect end-to-end AI
solutions.



--
Thanks
Chandan
Manager | Empower Professionals
........................................................................................................................................................
cha...@empowerprofessionals.com |
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
www.empowerprofessionals.com
Certified NJ and NY Minority Business Enterprise (NMSDC)

To subscribe or unsubscribe: https://send.empowerprofessionals.com/newsletter/subscribe/647186e8-bcb0-4f73-8f80-cb3daff9ad90