Senior AI Development Lead

1 week ago

Aligarh, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,39,39,200 - ₹ 2,43,24,000

About the Role

We are looking for a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems with a strong focus on LLMs, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation.

The ideal candidate will work closely with cross-functional teams to translate business needs into AI solutions, bringing expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation.

Key Responsibilities:

  • Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks.
  • Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing.
  • Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning.

Infrastructure, Deployment & MLOps:

  • Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI.
  • Integrate ML models with APIs, databases (vector/graph), and production services ensuring performance, reliability, and traceability.
  • Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines.

Data & Feature Engineering:

  • Work with structured, unstructured, and semi-structured data (text, embeddings, chat history).
  • Build and manage vector databases (e.g., Pinecone, Weaviate) and graph-based retrieval systems.
  • Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows.

Team Collaboration & Technical Leadership:

  • Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals.
  • Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment.
  • Stay updated on the latest in AI/ML (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases.

What We Offer:

  • High ownership, fast iterations, and impact-focused work.
  • The opportunity to build AI that directly powers growth for 100,000+ businesses.
  • A chance to work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments.

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