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Remote Machine Learning Engineer Jobs in Warren, MI

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Detroit MI Under limited supervision, the AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine learning solutions that address complex business needs.

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113K - $136K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

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 ...

SDLC Engineer - AI Trainer

Detroit, MI · Remote

$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 ...

SDLC Engineer - AI Trainer

Warren, MI · Remote

$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 ...

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Remote Machine Learning Engineer information

See Warren, MI salary details

$29.5K

$120.6K

$181.3K

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

As of Jun 21, 2026, the average yearly pay for remote machine learning engineer in Warren, MI is $120,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,200.00 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Warren, MI? The most popular types of Machine Learning Engineer jobs in Warren, MI are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Warren, MI? For Remote Machine Learning Engineer jobs in Warren, MI, the most frequently searched job titles are:
What cities near Warren, MI are hiring for Remote Machine Learning Engineer jobs? Cities near Warren, MI with the most Remote Machine Learning Engineer job openings:
Data Science Senior Analyst/AI Engineer

Data Science Senior Analyst/AI Engineer

KYYBA

Detroit, MI • Remote

$50 - $52/hr

Contractor

Medical, PTO

Posted 4 days ago

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Job description

Title: Data Science Senior Analyst/AI Engineer

Location: Detroit MI
Under limited supervision, the AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine learning solutions that address complex business needs. This role emphasizes end-to-end backend solution development, cloud-native architecture, and operational deployment using AWS services such as Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, etc. The engineer partners with technical leads and business stakeholders to translate requirements into scalable, secure, and maintainable AI-enabled applications.
Essential Duties and Responsibilities
Essential duties and responsibilities include the following. Other duties may be assigned.
1. Design, develop, test, and deploy end-to-end backend solutions that support AI, machine learning, and intelligent automation use cases.
2. Build cloud-native and serverless applications using AWS services, including Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, and related tools.
3. Develop APIs, workflow automation, and integration components that enable AI-powered functionality in production environments.
4. Create scalable data processing and application logic to support model inference, retrieval, search, and decision-support workflows.
5. Support the design and implementation of AI/ML solutions through software engineering, data engineering, and model integration practices.
6. Partner with data scientists, engineers, architects, and business stakeholders to define technical requirements and solution design.
7. Implement monitoring, logging, testing, and deployment practices to ensure reliability, performance, and maintainability of production systems.
8. Contribute to CI/CD pipelines, infrastructure-as-code practices, and secure software development standards.
9. Document architecture, technical designs, implementation details, and operational procedures.
10. Participate in code reviews, technical discussions, and knowledge-sharing activities to support team effectiveness and solution quality.
Education and Experience
1. Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field is required. Master's degree preferred.
2. Minimum of three (3) years of related experience in software engineering, data science, AI engineering, or machine learning engineering is required.
3. Demonstrated experience building and deploying production applications in cloud environments is required.
4. Experience developing backend services and integrating AWS-native services is required.
5. Prior experience supporting AI/ML solutions or intelligent automation initiatives is preferred.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Other Skills and Abilities
1. Strong proficiency in Python and backend application development is required.
2. Strong hands-on experience with AWS-native services, including Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, and SageMaker, is required.
3. Knowledge of AI engineering, machine learning deployment, and production support practices is required.
4. Experience with APIs, event-driven architecture, and distributed systems is required.
5. Understanding of cloud security, reliability, and performance best practices is preferred.
6. Experience with CI/CD pipelines, automated testing is required.
7. Ability to diagnose issues, optimize performance, and support production systems is required.
8. Strong written and verbal communication skills, including the ability to explain technical concepts to both technical and non-technical audiences, are required.
9. Ability to work independently, manage priorities, and deliver within established timelines is required.
10. Basic proficiency in Microsoft Word, Excel, and PowerPoint is required.

Company Description

Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other b

KYYBA logo

About KYYBA

Sourced by ZipRecruiter

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

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