Description

You will design and deliver scalable AI/ML solutions, leveraging deep expertise in machine learning, deep learning, and MLOps. This role requires strong hands-on skills in cloud platforms and data pipelines.

This role is hybrid.

Responsibilities

• Architect and design end-to-end AI/ML solutions for scalability.
• Build and maintain data pipelines and model deployment workflows.
• Implement MLOps practices to streamline model lifecycle management.
• Develop core ML models using Python and modern frameworks.
• Collaborate on solution design across cloud infrastructure.

Required Skills

• 15+ years of experience in software engineering or data science.
• Proficiency in Python programming.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Deep knowledge of AI/ML architecture and solution design.
• Experience with MLOps, model deployment, and data pipelines.
• Proficiency with cloud platforms: AWS, Azure, or GCP.

Preferred Skills

• Experience with hybrid or remote distributed systems.
• Background in large-scale enterprise AI deployments.

Key Skills

Education

Any Graduate