Job Description

Job Description
The role involves designing and delivering enterprise data science and AI/ML platforms in complex cloud environments. It includes building serverless and containerized environments, developing secure and scalable infrastructure as code, defining API standards, and automated CI/CD pipelines. Additionally, it involves leading engineering and data teams, translating business requirements into technical solutions, and selecting technologies that optimize costs and meet business and product objectives.
Responsibilities:
Design and deliver enterprise-grade AI/ML and data science platforms.
Create serverless and containerized runtimes for ML and data workloads.
Develop secure and scalable patterns for cloud infrastructure as code and deployments.
Define API standards, observability strategies, and architectural guardrails.
Establish and evolve CI/CD pipelines with automation at the core.
Lead and mentor cross-functional engineering and data teams.
Translate business requirements into pragmatic architectural solutions.
Maintain technical alignment with product, business and customer objectives.
Select technological approaches that meet non-functional requirements and optimize costs.
Research emerging technologies and best practices, applying them where beneficial.
Requirements:
Knowledge of Python and/or TypeScript (Java is a big plus).
Hands-on experience delivering secure and scalable cloud solutions in enterprise environments.
Understanding of architectural design patterns and their application to AI systems.
Experience in one or more of: GCP, AWS, Azure.
Communication and documentation skills: written, verbal and diagrammatic.
Hands-on experience with serverless and containerized deployments.
Demonstrated ability to design and operate CI/CD workflows.

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