Chief AI Architect

2 days ago


Amrāvati, Maharashtra, India beBeeMachineLearning Full time ₹ 1,68,25,000 - ₹ 2,52,37,500

About our company

We are a WhatsApp-based marketing and engagement platform that helps businesses grow their revenues via WhatsApp.

  • Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
  • 400 Crores+ WhatsApp Messages exchanged between Businesses and Users per year
  • Working with top brands like Vivo & more
  • High Impact as Businesses drive 25-80% Revenues using our Platform

We are looking for a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems.

Key Responsibilities:
  • AI & ML System Development: 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.

Required Qualifications:

  • Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, or a related field from a Tier 1 institution.
  • 2+ years of experience building and deploying machine learning models in production.
  • Expertise in Python and known the frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.
  • Hands-on experience with transformer models, LLMs, LangChain, LangGraph, OpenAI API, or similar.

Why Work with Us?

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

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