AI/ML Engineer

JOB DESCRIPTION

ABOUT THE JOB

You will be our: AI Engineer - MedTech Systems

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 roleyou 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 Youll 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 new techniques but stay grounded in practicality

Analytical: You approach ambiguity with structured reasoning

Ownership-Driven: You take responsibility from idea to deployment

Heres what we are looking for:

Education

Bachelors or Masters 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 Palakkadbacked 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