Description

You will design and deploy scalable AI and Data Science solutions for large-scale distributed workloads.

This role is on-site.

Responsibilities

• Design and implement scalable AI solutions in OCI or Azure environments.
• Optimize AI infrastructure for capacity, performance, cost, and security.
• Tune hyperparameters for ML and Generative AI models to maximize accuracy and resource utilization.
• Build CI/CD pipelines for model versioning, testing, validation, and deployment.
• Manage the end-to-end data lifecycle including EDA and high-volume pipeline creation.

Required Skills

• 8+ years of experience in Machine Learning Engineering, Data Science, or Data Engineering.
• Proficiency in Python and SQL.
• Hands-on experience with TensorFlow or PyTorch.
• Full-stack development experience in Java, .Net, React, Node.js, Flask/Django, or REST APIs.
• Experience with Docker and Kubernetes containerization.
• Cloud platform experience with OCI or Azure.
• Proven track record in customer-facing or product-oriented roles.

Preferred Skills

• Master’s degree in Computer Science, Machine Learning, Data Science, or Statistics.

Key Skills

Education

Any Graduate