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Machine Learning Manager Jobs in Novi, MI (NOW HIRING)

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach ... AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Execute quick turn studies for urgent business questions by mining, managing, and exploring large ...

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Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV ...

Machine Learning Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine ...

Machine Learning Engineer 3

Dearborn, MI ยท On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an ... management. Ensure AI solutions are reliable, scalable, secure, and optimized for production ...

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Collaborate with cross-functional stakeholders including product managers, data engineers, and ...

Senior Machine Learning Engineer

Detroit, MI ยท Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Collaborate with cross-functional stakeholders including product managers, data engineers, and ...

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Machine Learning Manager information

See Novi, MI salary details

$47.8K

$76.7K

$110.7K

How much do machine learning manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning manager in Novi, MI is $76,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $86,800.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Novi, MI? The most popular types of Machine Learning jobs in Novi, MI are:
What are popular job titles related to Machine Learning Manager jobs in Novi, MI? For Machine Learning Manager jobs in Novi, MI, the most frequently searched job titles are:
What cities near Novi, MI are hiring for Machine Learning Manager jobs? Cities near Novi, MI with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Novi, MI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $76,658 per year, or $36.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Stefanini

Allen Park, MI โ€ข On-site

Other

Posted 21 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer(Allen Park, MI)
For quick apply, please reach out to Navneet Pathak at /
We are looking for a candidate who is responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Key ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required:J2EE, Logistics, Python, Machine Learning
Skills Preferred:AIPGEE, Advance data Migration, API, Data Management
Experience Required:5+ years of experience in relevant fieldFully Functional Middleware API: A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational data points. Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware data, flags anomalies, and generates structured recommendation JSON payloads. Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks that feed the AI's reasoning, recommendations, and confidence scores into our front-end application. Co-Developed Codebase: A clean, modular, and fully tested Git repository co-authored with our internal team. Coaching Playbook: A comprehensive training package and transfer-of-ownership document for our internal engineering and product teams
Experience PreferredAutomotive Supply Chain - Logistics
Education RequiredBachelor's Degree
Education PreferredCertification Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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