Description

You will lead the architecture and deployment of scalable AI platforms and deep learning solutions.

This role is on-site.

Responsibilities

• Design and architect scalable AI platforms using ML and deep learning techniques.
• Define and implement AI/ML architecture standards, frameworks, and best practices.
• Lead infrastructure setup, including cloud services selection, data pipelines, and model deployment.
• Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
• Provide technical leadership and mentorship to development teams.

Required Skills

• 5+ years of experience in AI/ML platform architecture.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-Learn.
• Expertise in cloud platforms including GCP and Azure.
• Experience with containerization and orchestration using Docker, Kubernetes, AKS, GKE, or OpenShift.
• Strong knowledge of the model development life cycle and software engineering principles.
• Proficiency with CI/CD pipelines and DevOps automation in AI/ML contexts.
• Ability to design and optimize distributed computing systems for AI/ML workloads.

Preferred Skills

• Deep understanding of ML algorithms and deep learning architectures.
• Collaborate with stakeholders and engineering teams to gather requirements for AI use cases.

Any Graduate degree.

Key Skills

Education

Any Graduate