AI/ML Engineer

AI Engineer – MedTech Systems Location: Palakkad, Kerala (On-site) Company: Revin Krishi Who We Are Revin Krishi is a deep-technology company building scalable, intelligent systems across agritech, medtech, education technology, simulation platforms, and enterprise software. Our MedTech initiatives focus on AI-driven clinical intelligence, simulation-based learning, and decision-support systems that enhance diagnostic accuracy, training efficiency, and healthcare operations. We build systems where data, models, and human interaction converge in real-time. Your Role at Revin Krishi As an AI Engineer, you will design and deploy intelligent systems that power clinical simulations, diagnostic reasoning engines, and adaptive learning platforms. This is not a generic ML role—you will work on applied AI systems integrated into real-world workflows, where model decisions directly influence user interaction, training outcomes, and system behavior. You will collaborate closely with product, engineering, and domain experts to build production-grade AI systems, not just prototypes. What You’ll Do 1. AI Model Development & Deployment ● Design, train, and optimize machine learning and deep learning models for healthcare use cases ● Work on NLP models for clinical conversations, symptom analysis, and decision support ● Deploy models into production with scalable APIs and monitoring 2. Clinical Simulation Intelligence ● Build AI systems that simulate patient responses and clinical scenarios ● Develop adaptive engines that react dynamically to user inputs (e.g., doctor decisions) ● Integrate probabilistic reasoning and rule-based logic into AI-driven workflows 3. Decision Support Systems ● Develop AI-driven diagnostic assistance models ● Work on structured + unstructured data (symptoms, vitals, reports, interactions) ● Design explainable AI systems for transparency in clinical decision-making 4. Data Engineering for AI ● Build and manage pipelines for training and inference data ● Work with multimodal datasets (text, structured clinical data, time-series signals) ● Ensure data quality, labeling strategies, and versioning 5. Real-Time AI Systems ● Integrate AI models with real-time applications (simulation engines, dashboards) ● Optimize inference latency for interactive use cases ● Work with event-driven architectures and streaming data 6. AI Infrastructure & MLOps ● Build reproducible ML pipelines and CI/CD for models ● Manage model versioning, monitoring, and performance tracking ● Use tools like Docker, Kubernetes, and cloud platforms for deployment 7. Research to Production ● Translate research ideas into working systems ● Evaluate trade-offs between model complexity and real-world performance ● Stay updated with advancements in AI for healthcare and simulation Who You Are ● Applied Thinker: You focus on solving real problems, not just building models ● System-Oriented: You understand how AI integrates into full-stack systems ● Curious: You explore new techniques but stay grounded in practicality ● Analytical: You approach ambiguity with structured reasoning ● Ownership-Driven: You take responsibility from idea to deployment What We’re Looking For Education Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field Experience 1 years in AI/ML engineering or applied machine learning Technical Skills ● Strong foundation in Machine Learning and Deep Learning ● Experience with frameworks: TensorFlow / PyTorch / Scikit-learn ● NLP experience (transformers, LLMs, embeddings, etc.) ● Proficiency in Python Systems & Integration ● Experience deploying ML models via APIs (FastAPI, Flask, etc.) ● Understanding of microservices and distributed systems ● Familiarity with real-time data processing Data & Infrastructure ● Experience with SQL/NoSQL databases ● Knowledge of MLOps practices and tools ● Familiarity with Docker and cloud platforms (AWS/GCP/Azure) Preferred Experience ● Exposure to MedTech / HealthTech applications ● Experience with simulation systems or gaming engines ● Understanding of clinical workflows or diagnostic systems ● Experience with reinforcement learning or decision engines ● Work with LLMs in structured environments (not just chatbots) Why Join Revin Krishi ● Build AI systems with real clinical impact, not just dashboards ● Work on simulation-driven intelligence platforms ● Be part of an IIT Palakkad–backed deep-tech ecosystem ● High ownership with direct exposure to product and architecture decisions ● Opportunity to evolve into AI Architect / Applied AI Lead roles ● Contribute to systems that improve healthcare decision-making at scale