Top 2 Lead net developer Jobs in Milwaukee, Wi

Lead ML Ops Engineer
CliftonLarsonAllen —Milwaukee, WI
- Full-time
- 6 years
- Computer Science
- DevOps
- Health insurance
- Dental insurance
Lead Full Stack Engineer PxE Consulting
Deloitte —Milwaukee, WI
- $102,500 - $210,600 a year
- Full-time
- Azure
- Computer Science
- Bachelor's degree

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Lead ML Ops Engineer

CliftonLarsonAllen -
Milwaukee, WI

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Job Details

Full-time

Benefits

Health insurance
Dental insurance
401(k)
Vision insurance

Qualifications

AI models
Cost management
Strategic goal setting
6 years
Computer Science
Operations management
Incident management
Automation
Tooling
Technical documentation
Enterprise software
Operational management
DevOps
Improving system uptime or availability
Coaching
Performance management strategy
IT system monitoring
Regulatory compliance
IT vision strategy
Generative models
System design
Cost control
AI platforms (beyond public GPTs)
Scalable systems
Quality improvement leadership
Infrastructure architecture design
System design for system development
Team development
Supervising experience
Machine intelligence

Full Job Description

LA is a top 10 national professional services firm wur purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the end‑to‑end machine‑learning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you’ll create opportunities in this role:

• Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

• Oversee enterprise‑scale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

• Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

• Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

• Lead teams delivering shared AI infrastructure, tooling, and platforms, providing day‑to‑day leadership through coaching, development, and performance management.

• Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining high‑quality documentation, and driving continuous improvement.

• Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

Degree in computer science, data science, or related field preferred.

Technical Competencies

Advanced proficiency in Python and architectural mastery of object‑oriented design across dynamically typed languages.

Broad experience integrating and governing multi‑language systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
Leadership‑level expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
Strong experience with cloud architecture, security, compliance, and enterprise‑scale deployments.
Proven ability to guide teams in technical decision‑making and platform strategy.

#LI-JH1

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

Apply Now

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lead net developer jobs in milwaukee, wi

Lead ML Ops Engineer

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