Description

You will design and architect scalable platforms for machine learning workloads.

Responsibilities

• Design AI/ML platform architectures that support the full model development life cycle.
• Implement software and data engineering principles to support machine learning workflows.
• Deploy and manage containerized workloads using orchestration tools across on-prem and cloud environments.
• Integrate CI/CD pipelines into the ML development process.

Required Skills

• 5+ years of experience in AI/ML platform architecture.
• Deep understanding of ML algorithms and deep learning architecture.
• Hands-on experience with frameworks including TensorFlow, PyTorch, and Scikit-Learn.
• Expertise in cloud platforms such as GCP or Azure and their specific AI services.
• Proficiency with containerization and orchestration tools.
• Strong grasp of software engineering and data engineering principles.
• Experience managing the model development life cycle.
• Knowledge of CI/CD implementation.

Key Skills

Education

Any Graduate