Cutting Edge AI/ML Systems Architect

3 days ago

Dindigul, Tamil Nadu, India beBeeMachine Full time ₹ 1,44,00,000 - ₹ 2,52,00,000

About Us

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses grow their revenues via WhatsApp.

  • Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
  • 400 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year
Job Overview

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.

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

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.

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.

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.

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.
Required Skills & 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 frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.

Hands-on experience with transformer models, LLMs, LangChain, LangGraph, OpenAI API, or similar.

Benefits

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.

Reimagine how businesses communicate.

Pursue excellence in AI.

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