Description

You will design and architect scalable AI platforms to develop and deploy solutions using ML and Deep Learning techniques.

This role is hybrid.

Responsibilities

• Architect scalable AI platforms and lead infrastructure setup, including cloud services and data pipelines.
• Collaborate with stakeholders and engineering teams to gather requirements for AI use cases.
• Define and implement AI/ML architecture best practices, frameworks, and standards.
• Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
• Design and implement data governance, security, and compliance measures for production environments.

Required Skills

• 5+ years of experience in AI/ML platform architecture.
• Deep understanding of ML algorithms and Deep Learning architectures.
• Proficiency with TensorFlow, PyTorch, and Scikit-Learn.
• Experience with cloud platforms including GCP and Azure.
• Hands-on experience with Docker and Kubernetes.
• Expertise in container orchestration using AKS, GKE, or OpenShift.
• Strong knowledge of the model development life cycle and software engineering principles.
• Experience designing distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices and CI/CD pipelines.

Preferred Skills

• Any Graduate education level.

Key Skills

Education

Any Graduate