Description

You will develop and deploy AI/ML models for healthcare applications to improve clinical outcomes.

This role is on-site.

Responsibilities

• Design and implement deep learning architectures including CNNs and RNNs for advanced use cases.
• Build end-to-end AI/ML workflows using Python, from experimentation to production deployment.
• Apply supervised, unsupervised, and reinforcement learning techniques across diverse domains.
• Build and optimize data pipelines for model training and inference.
• Ensure responsible AI practices, including fairness, transparency, and explainability.

Required Skills

• 6+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning.
• Strong proficiency in Python for building end-to-end AI/ML solutions.
• Hands-on experience designing and implementing deep learning models (CNNs, RNNs).
• Experience deploying machine learning models into production environments.
• Strong knowledge of model evaluation, monitoring, and performance optimization.
• Familiarity with data pipelines and real-time data processing for ML workflows.
• Experience with CI/CD pipelines and containerized deployment practices.
• Any Graduate or Post Graduate in a relevant field.

Preferred Skills

• Understanding of ethical AI practices, including bias mitigation and explainability.
• Familiarity with healthcare data standards and compliance requirements.
• Experience integrating AI solutions into scalable SaaS platforms.

Key Skills

Education

Any Graduate