ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Clinton Township, MI

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

... machine learning use cases. * Architect and deliver LLM-enabled Generative AI solutions (e.g ... Extensive data engineering experience, including pipeline development, database design, and ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

... Machine Learning Model Development to support business decisions in credit risk analysis. We are ... Engineering or a related field and 3 years of experience in the job offered or a related occupation ...

TD Bank Group

Risk Manager II (US)

Southfield, MI · On-site +1

$115K - $173K/yr

... and machine learning. - Hands-on analytics experience with bureau and alternative data sources, and knowledge of feature engineering and attribute aggregation. - Advanced proficiency in SAS, R ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

fng

Software Developer

Warren, MI · On-site +1

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

WalkMe

DevOps Engineer

Detroit, MI · Remote

$54 - $74/hr

A proactive and self-motivated approach to learning and adopting new technologies. * Passion for ... We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential ...

Varsity Tutors

Linear Algebra Tutor

Detroit, MI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Mechanical Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Clinton Township, MI

Remote Machine Learning Engineer information

See Clinton Township, MI salary details

$31.1K

$127.2K

$191.2K

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

As of Aug 10, 2026, the average yearly pay for remote machine learning engineer in Clinton Township, MI is $127,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Clinton Township, MI? The most popular types of Machine Learning Engineer jobs in Clinton Township, MI are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Clinton Township, MI? For Remote Machine Learning Engineer jobs in Clinton Township, MI, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Clinton Township, MI look for? The top searched job categories for Remote Machine Learning Engineer jobs in Clinton Township, MI are:
What cities near Clinton Township, MI are hiring for Remote Machine Learning Engineer jobs? Cities near Clinton Township, MI with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Clinton Township, MI as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,233 per year, or $61.2 per hour.

AI/ML and Data Engineer

company826

Southfield, MI • On-site, Remote

$104K - $125K/yr

Other

Re-posted 13 days ago

Job description

Description
Responsible for providing both strategic and hands-on technical leadership for SME's AI/ML, Generative AI, and modern data platforms, advancing SME's nonprofit mission to accelerate adoption of manufacturing technology and strengthen the manufacturing talent pipeline. The incumbent designs, builds, and deploys practical AI capabilities and governed data systems that enable SME insights, products, and services-including workforce development initiatives-while serving as an advisor under the direction of the Director to internal leaders, members, partners, and manufacturers.
A critical component of this role is end-to-end delivery: translating manufacturing-focused opportunities into secure, production-grade AI solutions (including traditional ML and LLM-enabled applications), building the underlying data foundation to support analytics and decision-making, and providing client-facing consulting services that demonstrate measurable value and responsible use of AI.
The position also contributes to organizational capability-building by coaching stakeholders on appropriate AI use, shaping standards-aligned governance practices, and representing SME's point of view on AI and data in manufacturing through partner engagement and industry thought leadership.
MAJOR FUNCTIONS:
  • Lead the design, development, and deployment of manufacturing-focused AI solutions, including predictive maintenance, anomaly detection, process optimization, and related applied machine learning use cases.
  • Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation, tool use, and agentic workflows) that enable natural-language access to SME knowledge assets such as research content, standards-related material, membership and event data, and learning resources.
  • Build and maintain a modern, scalable data platform that ingests, curates, and governs structured and unstructured manufacturing-related datasets, ensuring data quality, metadata management, lineage, and appropriate access controls.
  • Design and implement database patterns (relational, lakehouse, and vector databases) to support analytics, AI development, and reliable retrieval across SME content and partner datasets.
  • Establish and mature MLOps/LLMOps practices, including CI/CD, model and prompt versioning, monitoring/observability, rollback procedures, and cost/performance optimization for production environments.
  • Define evaluation approaches and quality controls for AI systems, including performance metrics, monitoring for drift, and iterative improvement loops that maintain reliability and trust over time.
  • Oversee analytics engineering (ETL/ELT) supporting dashboards and reporting that inform SME decision-making on industry trends, program outcomes, member engagement, and organizational performance.
  • Conduct discovery workshops with manufacturers, members, and partners to identify priority AI/data opportunities, frame ROI and feasibility, and develop actionable implementation roadmaps.
  • Lead pilot and proof-of-value engagements from requirements through deployment and knowledge transfer, ensuring solutions are supportable, secure, and aligned with stakeholder needs.
  • Provide executive-level advisory services on AI adoption and data modernization, tailoring recommendations for both technical and non-technical stakeholders and enabling informed decision-making.
  • Author proposals, statements of work, technical approaches, and executive readouts that communicate scope, risks, outcomes, and measurable impact of AI/data initiatives.
  • Implement and champion AI/data governance and security practices aligned with relevant frameworks, including privacy safeguards, auditability, and responsible AI principles (bias mitigation, explainability, and safe use guidance).
  • Partner with internal stakeholders (e.g., workforce development, membership, research, standards-related groups, events, and marketing) to ensure AI/data initiatives align with SME priorities and deliver clear value to the manufacturing community.
  • Mentor team members and/or contractors in AI/data delivery best practices to improve consistency and execution quality.
  • Serve as an internal subject matter expert, enabling appropriate use of AI tools through guidance, enablement materials, and practical coaching.
  • Co-manage relationships with external technology partners, cloud providers, and vendors to ensure effective delivery, scalability, and cost discipline.
  • Represent SME at industry events and partner forums, providing thought leadership on AI and data in manufacturing and supporting SME's role as a trusted, industry-facing nonprofit.
  • Other duties as assigned.

Requirements
MINIMUM EDUCATION, SKILLS, AND EXPERIENCE REQUIREMENTS:
  • Bachelor's degree required in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
  • At least 8 years of progressive experience in AI/ML engineering, including a minimum of 3 years deploying traditional ML and Generative AI/LLM solutions into production.
  • Demonstrated track record building, shipping, and operating production AI systems using modern frameworks and best practices.
  • Extensive data engineering experience, including pipeline development, database design, and management of large-scale datasets.
  • Strong expertise with cloud platforms (AWS, Azure, or GCP) and associated data and AI services.
  • Demonstrated consulting and client-facing delivery experience, including workshop facilitation, requirements elicitation, and technical advisory execution.
  • Proven ability to lead cross-functional initiatives as a senior individual contributor and/or people leader, with strong collaboration skills across technical and business teams.
  • Exposure to manufacturing processes, systems, and operational challenges through industry experience or consulting engagements.
  • Working knowledge of data security, privacy, and governance practices; ability to implement controls appropriate for sensitive data and partner environments.
  • Excellent communication and presentation skills, with the ability to translate complex technical topics for varied audiences and senior stakeholders.

PREFERRED:
  • Experience with digital thread/digital twin concepts, manufacturing simulation, or related manufacturing systems integration.
  • Knowledge of manufacturing standards, technical publications, quality/reliability engineering, or certification/adherence environments.
  • Proficiency with platforms such as Snowflake, Databricks, Azure OpenAI, and/or AWS Bedrock.
  • Experience with compliance frameworks (e.g., SOC 2, NIST) and/or privacy regulations as applied to data and AI systems.
  • Advanced AI experience, including fine-tuning open-source LLMs for domain-specific manufacturing applications.
  • Familiarity with operational technology (OT) concepts and the realities of manufacturing data environments.
  • Experience developing AI solutions that incorporate manufacturing domain knowledge into model design, evaluation, and deployment approaches

KEY COMPETENCIES:
Core Competencies:
  • Communication and Collaboration
  • Relationship Management
  • Professionalism and Integrity
  • Critical Thinking and Decision-Making
  • Execution
  • Initiative, Leadership, and Development

Job Competencies:
  • AI Architecture and Solution Design
  • Data Architecture and Governance Implementation
  • AI Lifecycle and Model Operations Management
  • Responsible AI and Risk Mitigation
  • Technical Consulting and Stakeholder Advisory
  • External Partner and Vendor Collaboration

WORKING CONDITIONS:
  • Normal office environment
  • Regular, in-person attendance required
  • Primary office location: Southfield, MI
  • Travel required (up to 25%)

Apply