Advanced Artificial Intelligence Specialist

3 days ago

Coimbatore, Tamil Nadu, India beBeeMachine Full time ₹ 40,00,000 - ₹ 50,00,000
Job Overview

About our organization:

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

  • We enable 100,000+ businesses with WhatsApp engagement and marketing.
  • 400 Crores+ WhatsApp messages are exchanged between businesses and users per year.
  • We work with top brands like Vivo, Physicswallah, and more.
  • Bizneses drive 25-80% of their revenues using our platform.
  • Our mission-driven startup is backed by prominent investors.
Role Summary

As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI/ML systems focusing on LLMs, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation.

You 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.

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