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Analytics Manager

SLA-REVENUE HOUSE LEVEL 14💼 Full-time🗓 2026-06-24 → 2026-07-30

Core

Build foundational AI infrastructure, manage cloud environments, and develop data pipelines to enable domain experts to deploy business-critical AI solutions.

Role type

Senior IC AI Engineer (Infrastructure & MLOps)

Builds

Cloud infrastructure for AI workloads, automated data pipelines, and model serving APIs

Domain

Government digital transformation / AI infrastructure

Deliverable

infrastructure

Required skills

Python, TensorFlow, PyTorch, scikit-learn, AWS/Azure/GCP, MLOps, API development, ETL processes

Preferred skills

Government Commercial Cloud (GCC) standards, responsible AI practices, NLP, computer vision, Docker, Kubernetes

Technologies

TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP, Docker, Kubernetes

Responsibilities

Manage and maintain complex cloud environments for AI workloads; Conduct technical due diligence and build proof-of-concepts for new AI technologies; Develop and maintain automated data pipelines for AI model training and inference

Seniority

Senior, hands-on IC

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