Revin Krishi
Website:
revinkrishi.com
Job details:
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 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 new 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 hr@revin.one.
Click on Apply to know more.