Lead AI/ML Engineer

Primary Responsibilities:

Fine-tunes a large language model on proprietary data to improve its performance

Developing new machine learning models from scratch

Experiments with novel model architectures or algorithms

Conducts and publishes research on AI models

Research and develop cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures.

Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments

Prototype and refine novel algorithms to improve model performance, scalability, and interpretability Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications

Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness

Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research

Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design

Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning

Mentor junior researchers and contribute to the development of internal AI knowledge bases and best practices

Partner with data engineering and product teams to integrate AI solutions into production systems

Required Skills & Qualifications:

12+ years of experience in software development

Including Min. 4+ years of experience delivering solutions with a focus on AI/ML

Extensive experience implementing generative AI solutions using Open AI compatible APIs

Strong understanding of RAG architecture including knowledge of vector databases and semantic search

Hands-on experience with Azure Functions, Azure Monitor, and App Insights -

Expertise in Azure Document Intelligence, OCR, and Databricks.

Advanced proficiency in Python for AI/ML and automation.

Exp. with Cloud-based AI and data services

Python, Databricks, RAG, Agentic, AI Foundry, Lang Fuse

Enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML

Exp. in GitHub & M365 Copilot,Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn

Lead the design and implementation of intelligent applications using Azure Open AI, LLM Gateway, and Retrieval-

Augmented Generation (RAG) techniques.

Drive end-to-end delivery of AI-powered solutions across cross-functional teams.