AI/ML Engineer (ML Ops)

Company Description

Join us to build technology that has a meaningful impact on healthcare and the lives of cancer patients.

The Opportunity

Key Responsibilities

• Develop and optimize AI/Deep Learning models for Digital Pathology.
• Build scalable ML pipelines for training, validation, and deployment.
• Implement MLOps workflows using Docker, DVC, Git, CI/CD, and AWS SageMaker.
• Deploy and monitor AI models on cloud and on-prem GPU infrastructure.
• Collaborate with pathologists, software engineers, and product teams to deliver production-ready AI solutions.
• Contribute to research, validation studies, and product commercialization.

Key Skills & Qualifications

• Strong Python programming skills.
• Experience with PyTorch/TensorFlow and Computer Vision.
• Hands-on experience with Docker, Git, DVC, and CI/CD.
• Experience with AWS (SageMaker, EC2, S3) or similar cloud platforms.
• Knowledge of Linux and GPU-based model training.
• Good understanding of machine learning model deployment and MLOps practices.

Preferred Skills & Qualifications (Nice to Have

• Experience in Digital Pathology, Medical Imaging, or Healthcare AI.
• Familiarity with Whole Slide Images (WSI), Foundation Models, FastAPI, MLflow, Airflow/Prefect.
• B.E./ B.Tech./ M.Tech./ M.S. in Computer Science, AI, Data Science, or related fields.
• 2–5 years of relevant industry experience in AI/ML Engineering or MLOps.