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Executive Full Stack Machine Learning Engineer Jobs in Michigan

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at 248-213-3677/ navneet.pathak@stefanini.com We are looking for candidates who ...

New

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at 248-213-3677/ navneet.pathak@stefanini.com We are looking for candidates who ...

New

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing, building, deploying, and scaling complex self-running ML solutions -- including Generative AI and ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for candidates who will be responsible for predicting and ...

Bespoke Labs

Machine Learning Engineer

Ann Arbor, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Lansing, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Detroit, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Kalamazoo, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Flint, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Allendale, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Michigan? The most popular types of Full Stack Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Michigan? For Executive Full Stack Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Michigan with the most Executive Full Stack Machine Learning Engineer job openings:
Executive Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Stefanini Group

Dearborn, MI • On-site

Contractor

Posted yesterday

New

Job description

Stefanini Group is hiring!

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI)

For quick apply, please reach out to Navneet Pathak at 248-213-3677/ navneet.pathak@stefanini.com

We are looking for candidates who will be 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. 

Responsibilities

  • Understand 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:

  • Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science

 

Experience Required:

  • 5+ experience in relevant field
  • Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform 
  • Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV 
  • Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls) 
  • Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights 
  • Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value 
  • Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis

                                             

Education Required

  • Master's Degree

Education Preferred

  • Doctorate

**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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Education:Master (MA, MS...)Employment Type: CONTRACTOR

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