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Manager Remote Machine Learning Engineer Jobs in Hobart, IN

Build and manage containerized applications * Provision and support configuration of relational ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners ...

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Manager Remote Machine Learning Engineer information

See Hobart, IN salary details

$30.2K

$67.9K

$114.2K

How much do manager remote machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager remote machine learning engineer in Hobart, IN is $67,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $73,700.00 per year, depending on experience, location, and employer.

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.

Senior DevOps Engineer (US REMOTE)

Motorola

Chicago, IL • Remote

$140K - $170K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe Rave organization within Motorola Solutions is responsible for SaaS products supporting the safety mission of public and private entities. We help our customers engage with responders, households, schools, businesses, employees, students and other stakeholders to deliver critical communications, coordinate response, and exchange life-saving information.
The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola and partner systems. As a team member within the Rave organization, you will be exposed to many other solutions offered by Motorola Solutions, the most trusted name in public safety
Job Description

We're looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a key role in building, maintaining, securing and deploying scalable cloud infrastructure and systems.

Responsibilities:

  • Design, develop, and maintain scalable cloud infrastructure

  • Automate deployment, scaling and monitoring of systems on that infrastructure

  • Collaborate with cross-functional teams to define and implement CI/CD pipelines

  • Build and manage containerized applications

  • Provision and support configuration of relational databases with an emphasis on high availability, security and reliability

  • Monitor, troubleshoot, and optimize system performance and reliability

  • Contribute to the creation and operation of robust disaster recovery and backup strategies

  • Manage developer tooling

  • Ensure compliance with regulatory, compliance and security frameworks

  • (Optionally) develop and support full stack Java-based applications

Required Skills:

  • Citizenship: Must be a US Citizen. This requirement is due to specific U.S. Government Contract Mandates and access to sensitive public safety data.

  • Experience with containers and container orchestration tooling (Kubernetes / Helm / Docker)

  • Experience designing and deploying solutions to cloud environments (AWS)

  • Experience with IaC tooling (Terraform or similar)

  • Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps)

  • Experience with DVCS tooling (Git, GitHub, BitBucket, Azure DevOps)

  • Experience with RDBMS systems including managing schema evolution, migration, replication and disaster recovery (MySQL or similar)

  • Experience with Linux including scripting (Bash)

Preferred Skills:

  • Experience with AI/machine learning technologies is strongly preferred.

  • Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

  • Awareness of compliance frameworks (e.g. FedRAMP, CCCS)

  • Experience with SIP/RTP

  • Experience with developer tooling (Artifactory, Sonar, Gradle)

  • Familiarity with observability tooling (Prometheus/Grafana, ELK Stack or similar)

  • Knowledge of secure coding practices, security frameworks, and tooling (e.g., OWASP, NIST, CIS, Prisma Cloud/Twistlock, Mend/WhiteSource)

Soft Skills:

  • Strong problem-solving and analytical skills

  • Effective communication and teamwork abilities

  • Self-motivated with a passion for continuous learning

  • Ability to take ownership of problems and deliver complete solutions

Target Base Salary Range:$140,000 USD - $170,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidate can live anywhere in the United States.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 8+ years of cloud infrastructure experience

  • AND 5+ years of software engineering/development experience

  • AND 2+ year of Kubernetes and Docker experience

  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.


Travel RequirementsNone
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

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Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928