Lead ML Ops Engineer
Milwaukee, WI · On-site
$101K - $133K/yr
Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ... Degree in computer science, data science, or related field preferred. Technical Competencies
Lead ML Ops Engineer
Milwaukee, WI · On-site
$101K - $133K/yr
Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ... Degree in computer science, data science, or related field preferred. Technical Competencies
Principal Data Scientist
Appleton, WI · On-site
Data engineering and feature engineering concepts at scale, including pipelines built on modern ... Designing and deploying models into production with the surrounding MLOps practices-CI/CD ...
Principal Data Scientist
Appleton, WI · On-site
Data engineering and feature engineering concepts at scale, including pipelines built on modern ... Designing and deploying models into production with the surrounding MLOps practices-CI/CD ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
... code, MLOps, and cloud data engineering. Here's what your day-to-day will look like: * Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier subject-matter ...
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172 - $294/hr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
New
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172 - $294/hr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
New
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172K - $294K/yr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172K - $294K/yr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172K - $294K/yr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
AI Platform Engineering Director (Primarily Office)
Madison, WI · On-site
$172K - $294K/yr
Balance AI operations, MLOps/LLMOps, and agentic frameworks * Lead engineering practices for model ... data readiness. * Information Security, Enterprise Architecture, Infrastructure, Cloud, SRE, ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
AI Engineer II
Middleton, WI · On-site
$100K - $137K/yr
Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ... Experience with MLOps, vector databases, orchestration frameworks, and AI observability platforms.
WI · On-site
$90 - $120/hr
Profile The senior data scientist is responsible for designing, deploying, securing and managing ... Support DevOps, DataOps, and MLOps practices across analytics and AI workloads. Experience
New
Scientist, Computational Chemist & MLOps Engineer
$100K - $125K/yr
This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines ...
Quick apply
Scientist, Computational Chemist & MLOps Engineer
$100K - $125K/yr
This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines ...
WI · On-site
$65 - $173/hr
Experience working with data engineering/MLOps teams to productionalize data science models * Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.
New
WI · On-site
$65 - $173/hr
Experience working with data engineering/MLOps teams to productionalize data science models * Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.
New
Data Scientist (Decision Sciences Team)
Oregon, WI · On-site
$65 - $173/hr
Experience working with data engineering/MLOps teams to productionalize data science models * Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.
New
Data Scientist (Decision Sciences Team)
Oregon, WI · On-site
$65 - $173/hr
Experience working with data engineering/MLOps teams to productionalize data science models * Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.
New
Senior Forward Deployed Engineer - Databricks
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer - Databricks
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Snowflake
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Palantir
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer, Palantir
Milwaukee, WI · On-site
$103K - $141K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Mlops Data Engineer information
What is the difference between Mlops Data Engineer vs Data Scientist?
| Aspect | Mlops Data Engineer | Data Scientist |
|---|---|---|
| Required Skills | Machine learning deployment, cloud platforms, scripting, data pipelines | Statistical analysis, programming, data visualization, machine learning modeling |
| Certifications | Cloud certifications, ML engineering courses | Data science certifications, statistical courses |
| Work Environment | Data pipelines, cloud infrastructure, ML deployment systems | Data analysis, modeling, research environments |
| Industry Usage | Tech companies, AI-focused firms, cloud service providers | Research institutions, analytics firms, tech companies |
The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.
Are MLOps Data Engineers in demand?
MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.
What are the key skills and qualifications needed to thrive as an MLOps data engineer?
To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.
What are some common challenges MLOps data engineers face when deploying machine learning models into production?
MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.
What is an MLOps data engineer?
MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.
What is the salary of MLOps Data Engineer?
The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Wisconsin? For Mlops Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Wisconsin look for? The top searched job categories for Mlops Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mlops Data Engineer jobs? Cities in Wisconsin with the most Mlops Data Engineer job openings:
$101K - $133K/yr
Full-time
Medical, Dental, Vision, Retirement
Re-posted 7 hours ago
CliftonLarsonAllen rating
6.7
Based on 28 frontline employees who took The Breakroom Quiz
20th of 22 rated bookkeepers and accountants
Job description
LA is a top 10 national professional services firm where our 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.
Education
Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Technical Competencies
#LI-JH1
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.
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.
To view a complete list of benefits, click here.
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
Click here to learn about your hiring rights.
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.
To view a complete list of benefits, click here.
What CliftonLarsonAllen employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About CliftonLarsonAllen
Sourced by ZipRecruiter
CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.
Industry
Accounting services
Company size
5,001 - 10,000 Employees
Headquarters location
Minneapolis, MN, US
Year founded
2012