Description

Lead the architecture and deployment of scalable AI platforms and machine learning solutions.

This role is on-site.

Responsibilities

• Design and architect scalable AI platforms using machine learning and deep learning techniques.
• Lead AI/ML infrastructure setup, including cloud service selection, data pipelines, and model deployment.
• Collaborate with stakeholders, data scientists, and engineering teams to define functional and non-functional requirements.
• Implement AI/ML architecture best practices, frameworks, standards, and data governance measures.
• Optimize AI/ML workflows for performance, cost efficiency, and resource utilization in production.

Required Skills

• 12+ years of experience with a proven track record as an AI/ML platform architect.
• Deep understanding of ML algorithms, deep learning architecture, and models.
• Expertise in TensorFlow, PyTorch, and Scikit-Learn.
• Experience with cloud platforms including GCP and Azure.
• Proficiency with containerization and orchestration using Docker, Kubernetes, AKS, or GKE.
• Strong knowledge of the model development life cycle, software engineering, and data engineering principles.
• Ability to design and optimize distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices, CI/CD pipelines, and automation within AI/ML contexts.

Preferred Skills

• Provide technical leadership and mentorship to development teams while communicating strategy to executives.

Key Skills

Education

Bachelor's degree