ML AI Ops Engineer

About the role

Our client is seeking a highly experienced AI/ML Platform Engineering leader to drive the next phase of the company’s AI evolution. This strategic, hands‑on role will transform a collection of successful but largely independent AI and machine learning initiatives into a governed, scalable, enterprise‑grade AI platform. The ideal candidate is a seasoned Platform Engineer, MLOps Engineer, AI Infrastructure Engineer, or ML Platform Architect who has built and operationalized AI/ML platforms from the ground up.

Why this opportunity stands out

The organization has heavily invested in AI and Machine Learning, but many solutions were developed independently without a unified platform strategy. The focus now is on building a centralized enterprise AI platform that establishes governance and security controls, standardizes AI/ML development and deployment processes, operationalizes models at scale, and supports future agentic AI initiatives. This is a rare chance to build the foundation that will power enterprise AI for years to come.

Responsibilities

• AI & ML Platform Engineering
  • Design, architect, and implement scalable enterprise AI and machine learning platforms.
  • Build end‑to‑end frameworks supporting data ingestion, model training, model deployment, monitoring, governance, and lifecycle management.
  • Establish platform standards and best practices for AI adoption across the enterprise.
  • Create reusable infrastructure and deployment patterns to accelerate AI solution delivery.
• MLOps & AI Operations
  • Design and implement enterprise‑grade MLOps practices.
  • Build CI/CD pipelines for automated deployment and management of ML and GenAI solutions.
  • Implement monitoring, alerting, and observability for models, infrastructure, and data pipelines.
  • Develop processes to detect model drift, data quality issues, performance degradation, and infrastructure bottlenecks.
• Cloud & Infrastructure Leadership
  • Architect AI infrastructure primarily within Azure environments.
  • Leverage Kubernetes and cloud‑native services to support scalable workloads.
  • Design secure, reliable, and highly available platforms capable of supporting enterprise AI initiatives.
  • Optimize infrastructure for performance, reliability, and cost efficiency.
• AI Strategy & Innovation
  • Partner with Data Science teams to migrate existing solutions from ad‑hoc environments into governed production platforms.
  • Collaborate with Enterprise Architects and business leaders to define future‑state AI capabilities.
  • Help shape the roadmap for Generative AI, Agentic AI, autonomous workflows, multi‑agent systems, and LLM orchestration and governance.
• Governance, Risk & Compliance
  • Establish enterprise controls for responsible AI, data privacy, security, model explainability, bias mitigation, and regulatory compliance.
  • Implement governance frameworks that enable AI innovation while minimizing risk.

Required qualifications

• 5+ years of experience in Platform Engineering, Data Engineering, DevOps, MLOps, or AI Infrastructure.
• Proven track record building and operationalizing enterprise AI/ML platforms.
• Experience deploying and supporting machine learning or generative AI solutions in production environments.
• Strong cloud platform expertise (Azure preferred; AWS and GCP also valued).
• Deep understanding of enterprise architecture, automation, and cloud infrastructure.
• Experience supporting highly available, scalable production systems.

Technical skills

• Cloud & Platform: Microsoft Azure, Azure AI Foundry, Azure ML, Kubernetes, Docker, Git.
• MLOps & AI Operations: MLflow, Kubeflow, TensorFlow Extended (TFX), CI/CD pipeline development, model monitoring & governance.
• Automation & Programming: Python, SQL, data pipeline engineering, API integration, workflow automation.
• DevOps & Infrastructure: Infrastructure as Code, container orchestration, observability & monitoring, platform reliability engineering, enterprise CI/CD.

Job type & location

This is a contract‑to‑hire position based fully onsite in Milwaukee, WI 53208.

Pay

The pay range for this position is $65.00 – $72.00 per hour. Compensation within this range will depend on qualifications, skills, experience, geographic location, internal equity, and other job‑related factors.

Benefits

• Medical, dental & vision coverage
• Critical illness, accident, and hospital insurance
• 401(k) retirement plan – pre‑tax and Roth post‑tax contributions
• Life insurance (voluntary life & AD&D for employee and dependents)
• Short‑ and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Paid time off / vacation / sick leave

Application deadline

Anticipated closing date: September 30, 2026.

About the company

TEKsystems is a leading provider of business and technology services, helping clients accelerate transformation through strategy, design, execution, and operations. With a global workforce of 80,000 and over 6,000 customers—including 80 % of the Fortune 500—TEKsystems delivers full‑stack capabilities and rapid, scalable solutions.