Experience: 2–5 Years
Location: Remote
Compensation: Up to ₹20 LPA
Employment Type: Full-time

About the Company
We are a rapidly growing AI-driven health-tech / biotech company building advanced artificial intelligence systems to transform drug discovery and development.

Our technology combines AI, machine learning, predictive modeling and large-scale biological/multi-omics data to help researchers and life-sciences organizations identify promising drug candidates, predict efficacy and safety, and reduce the time and cost involved in bringing new therapies to patients.

We are looking for an AI Engineer who is excited about applying modern AI techniques to complex, real-world problems at the intersection of Artificial Intelligence, Healthcare and Biotechnology.

Role Overview
As an AI Engineer, you will work closely with AI/ML and scientific teams to design, develop and deploy machine-learning solutions for healthcare and drug-discovery applications.

You will be involved across the AI lifecycle — from data processing and model development to experimentation, evaluation,



optimization and production deployment.

Key Responsibilities
Design, develop and deploy machine learning and AI models for healthcare and life-sciences applications.
Work with large-scale structured, unstructured and biological/multi-omics datasets.
Develop predictive models for areas such as drug activity, efficacy, safety and biological outcomes.
Build and optimize data preprocessing, feature engineering and model-training pipelines.
Experiment with up-to-date deep learning, NLP and generative AI techniques where appropriate.
Evaluate model performance using appropriate statistical and ML metrics.
Improve model accuracy, scalability, robustness and inference performance.
Collaborate with data scientists, computational biologists and domain experts to translate scientific problems into ML solutions.
Develop APIs and production-ready services around AI/ML models.
Contribute to MLOps practices includi

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