JOB DESCRIPTION

ABOUT THE JOB

You will be our: AI Engineer

You will be based at: Palakkad, Kerala (On-site)

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 at Revin Krishi

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 current techniques but stay grounded in practicality

● Analytical: You approach ambiguity with structured reasoning

● Ownership-Driven: You take responsibility from idea to deployment





Here’s what we are looking for:

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Experience

1 year 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, embedding, 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

How to Apply?

If you’re ready to take on this exciting challenge, send your updated resume detailing your experience and passion to [email protected].

📌 AI/ML Engineer (Palakkad)
🏢 Revin Krishi
📍 Palakkad