Senior Machine Learning Engineer

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco, Wipro, Asian Paints, India Today Group, Skullcandy, Vivo, Physicswallah, and Cosco grow their revenues via WhatsApp.

Enabling 150,000+ Businesses with WhatsApp Engagement & Marketing

800 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year

Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more

High Impact as Businesses drive 25-80% Revenues using AiSensy Platform

Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors

Role 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.

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.

Required Qualifications

Bachelor’s / Master’s degree in Computer Science, Engineering, AI / ML, or a related field from a Tier 1 institution (IIT, NIT, IIIT or equivalent).

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.

Deep knowledge of machine learning algorithms , model evaluation, hyperparameter tuning, and optimization.

Experience working with cloud platforms (AWS, GCP, or Azure) and ML Ops tools (MLflow, Airflow, Kubernetes).

Strong understanding of SQL , data engineering concepts, and working with large-scale datasets.

Preferred Qualifications

Experience with prompt tuning, agentic AI systems , or multi-modal learning .

Familiarity with vector search systems (e.g., Pinecone, FAISS, Milvus) and knowledge graphs .

Contributions to open-source AI / ML projects or publications in AI journals / conferences.

Experience in building conversational AI or smart assistants using WhatsApp or similar messaging APIs.

Why Join AiSensy?

Build AI that directly powers growth for 150,000+ businesses.

Work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments.

High ownership, fast iterations, and impact-focused work.

Ready to build intelligent systems that redefine communication?

Apply now and join the AI revolution at AiSensy .