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Job Title


Senior Machine Learning Engineer


Company : AiSensy


Location : Bareilly, Uttar Pradesh


Created : 2025-08-01


Job Type : Full Time


Job Description

About AiSensyAiSensy 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 100,000+ Businesses with WhatsApp Engagement & Marketing 400 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 InvestorsRole OverviewWe are looking for aSenior Machine Learning Engineerto lead the development and deployment of cutting-edge AI/ML systems with a strong focus onLLMs, 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 ResponsibilitiesAI & 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 experiencebuilding and deploying machine learning models in production. Expertise inPythonand known the frameworks likeTensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience withtransformer models ,LLMs ,LangChain ,LangGraph, OpenAI API , or similar. Deep knowledge ofmachine learning algorithms , model evaluation, hyperparameter tuning, and optimization. Experience working withcloud platforms(AWS, GCP, or Azure) andML Ops tools(MLflow, Airflow, Kubernetes). Strong understanding ofSQL , data engineering concepts, and working with large-scale datasets.Preferred Qualifications Experience withprompt tuning, agentic AI systems , ormulti-modal learning . Familiarity withvector search systems(e.g., Pinecone, FAISS, Milvus) andknowledge 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 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.Ready to build intelligent systems that redefine communication? Apply now and join the AI revolution atAiSensy .