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Manager Remote Machine Learning Engineer Jobs in Wisconsin

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be ... Experience supporting machine learning or analytics teams in production. Licenses / Certifications:

New

Software Engineer - AI Trainer

Milwaukee, WI · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

Showing results 41-60

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.

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 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.

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.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

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:

Product Sales Manager - Remote

Franklin, WI • Remote

API Heat Transfer
Industrial Machinery Manufacturing • 1 - 5K employees

Full-time

Posted 5 days ago


Job description

API Heat Transfer / General Thermodynamics is seeking a highly motivated, growth-driven Sales Manager to accelerate our expansion across defined B2B markets. This critical role will cultivate and care for new and existing strategic accounts for sales growth of API heat exchangers / cooling packages, (Radiators, Charge Air Cooler, After-Coolers, Oil Coolers).

This Sales Manager will also ensure successful relationships with internal team members by being the conduit between the customer and API engineering, customer service, operations, and quality. The primary focus will be on increasing sales by developing new opportunities with existing customers and hunting new customers.

The ideal candidate is a self-starter with a proven track record of breaking into new markets, expanding customer bases, and consistently exceeding sales targets.

Key Responsibilities
  • ·         New Business Development: Aggressively prospect, qualify, and close new accounts in Power Generation, Data Centers, Defense, Rail &                    Locomotive, and Oil & Gas markets.
  • ·         Market Expansion: Develop growth strategies for both target markets (Power Generation, Data Centers, Defense, Rail & Locomotive, Oil &                  Gas) and base markets (Construction, On/Off Highway Specialty Vehicles, Mining, Compressors & Dryers).
  • ·         Customer Engagement: Build and maintain strong, long-term client relationships with engineering, procurement, and executive-level                  stakeholders.
  • ·         Competitive & Market Intelligence: Conduct in-depth research to identify customer needs, market dynamics, and competitive positioning.
  • ·         Cross-Functional Collaboration: Work closely with Marketing, Engineering, and Operations to align solutions with customer requirements and   market demand.
  • ·         Pipeline Ownership: Manage the CRM and Sales Funnel, ensuring accurate forecasting, opportunity tracking, and a robust rolling 12-month             outlook.
  • ·         Industry Representation: Represent General Thermodynamics at industry trade shows, conferences, and networking events to expand visibility   and generate leads.
  • ·         Travel: Domestic travel up to 50% for customer meetings and business development activities.
Qualifications
  •    Bachelor’s degree with 5+ years relevant experience working with technical product solutions.
  • ·         Demonstrated Sales / Business Development success delivering profitable sales growth.
  • ·         Excellent communication, negotiation, and presentation skills.
  • ·         Strong strategic and analytical skills to drive growth planning and execution.
  • ·         Proficiency in CRM tools (e.g., Salesforce) and MS Office Suite.
  • ·         Self-motivated and results-driven, able to operate independently while collaborating across teams.
Preferred Skills
  • ·         Experience selling technical products into Power Generation, Data Center, Defense, Rail & Locomotive, or Oil & Gas markets.
  • ·         Established engineering and purchasing contact networks within target industries.
  • ·         Background in heat transfer technologies (radiators, oil coolers, charge air coolers, HVAC, thermal management systems).
  • ·         Solid technical understanding of engine cooling and principles of heat transfer.
What We Offer
  • ·         Competitive salary with performance-based incentives aligned to aggressive growth.
  • ·         Career development and advancement opportunities.
  • ·         A fast-paced, collaborative, and entrepreneurial culture.
  • ·         Comprehensive benefits package.

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