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Manager Remote Machine Learning Engineer Jobs in Wisconsin

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Python Tutor

Madison, WI · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Our machines ship today, and they work. What this category becomes over the next decade is still ... Build out our fleet management layer -- telemetry, OTA, remote ops, fleet-wide observability * Work ...

$52 - $71.25/hr

Deploy new machines as required to meet demand. Automate where possible. * Manage SSL certificates ... Strong familiarity with DevOps processes and approaches, especially with GitOps Kubernetes ...

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Manager Remote Machine Learning Engineer information

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the key skills and qualifications needed to thrive as a Manager Remote Machine Learning Engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Wisconsin? For Manager Remote Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Wisconsin with the most Manager Remote Machine Learning Engineer job openings:
Technical Associate - Application Development 5A

Technical Associate - Application Development 5A

Genpact

Milwaukee, WI • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Genpact rating

6.3

Company rating: 6.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

168th of 210 rated it services


Job description

Technical Associate - Application Development
Ready to turn bold ideas into real-world impact?
At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
The Genpact Internship Program is a structured summer experience designed to develop future-ready talent across consulting, digital operations, and technology domains.
Within this program, the GigaAcademy US - DTAI Track focuses specifically on Data, Technology, and Artificial Intelligence (DTAI). Interns selected for this track will gain hands-on experience working on analytics, automation, engineering, and AI-driven solutions that support real client and internal transformation initiatives.
Participants will contribute to impactful technical projects, collaborate with cross-functional teams, receive mentorship from subject matter experts, and present final deliverables to business stakeholders.
Apply now and embark on an exciting internship journey with us.
Responsibilities
  • Lead development, analysis, and execution of technical project deliverables aligned to DTAI initiatives
  • Deliver data-driven insights, automation solutions, models, or system enhancements
  • Manage assigned technical workstreams with defined milestones and measurable outcomes
  • Work collaboratively with engineering, analytics, and consulting teams
  • Own documentation, code repositories, dashboards, or technical presentations
  • Support development of data pipelines, analytical models, AI/ML prototypes, or digital solutions (project dependent)
  • Participate in structured learning sessions focused on emerging technology and AI trends
  • Present technical findings and recommendations to business and technology stakeholders

Qualifications we seek in you!
Minimum Qualifications / Skills
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field
  • Foundational knowledge of programming, data analysis, or systems design
  • Interest in AI, machine learning, and problem-solving

Bonus Points/Preferred Skills:
  • Experience with Python, SQL, Power BI, Tableau, Java, or other relevant technical tools
  • Exposure to AI/ML concepts, automation frameworks, cloud platforms, or data engineering principles
  • Strong communication skills and ability to work in a team environment

Qualifications
Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering
Certifications
AWS Certified Solutions Architect - Associate - UdemyUdemy, IBM Certified Specialist - eServer i5 iSeries RPG ILE Programmer - IBMIBM, Microsoft Certified: Azure Administrator (AZ-104) - MicrosoftMicrosoft, Microsoft Certified: Power BI Data Analyst Associate - MicrosoftMicrosoft, Oracle Certified Professional - OracleOracle
Required Skills
Agile Methodology, Collaboration Tools, Database Server, Design Thinking, Greenplum Database, Inclusion, Ionic Framework, Microsoft Power BI, Microsoft SQL Developer, Microsoft SQL Server, Microsoft SQL Server Reporting Services, MySQL, Oracle Enterprise Resource Planning (ERP) Systems, Personal Effectiveness, PL/SQL (Programming Language), SQL Server Integration Services (SSIS), Stored Procedures
Language
English (Required)
Language Proficiency -
Upper Intermediate - B2
Additional Job Location -
Job Type
Intern (Fixed Term) (Trainee)
Job End Date
2026-08-28
Master Skill List -
Application Development
Remote Type -
Hybrid
Work Shift -
Day Job (United States of America)
The approximate annual base compensation range for this position is:
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
Why join Genpact?
Lead AI-powered transformation - Drive innovation and solve real-world business challenges that matter
Make an impact - Help global enterprises solve business challenges that matter
Accelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let's build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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About Genpact

Sourced by ZipRecruiter

Genpact is a global Professional Services firm delivering the outcomes that transform our Clients' Businesses and shape their future. We're guided by our real world experience Redesigning and Running thousands of processes for hundreds of Global Companies. Our Clients including many in the Global Fortune 500 partner with us for our unique ability to combine deep industry and functional expertise, Leading talent, and Proven Methodologies to drive Collaborative Innovation that turns insights into action and delivers outcomes at scale. We create lasting competitive advantages for our Clients and their Customers, running digitally enabled operations and applying our Data Tech AI services to design, Build, and Transform their businesses. And we do it all with purpose. From New York to New Delhi and more than 30 countries in between, our 115,000+ team is passionate in its relentless pursuit of a world that works better for people.

Industry

It services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1997

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