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Machine Learning Engineer New Grad Jobs in Michigan

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

Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite) For quick apply, please reach out Saurabh Kapoor at / You will be responsible for designing, building, deploying, and ...

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 ...

Senior Machine Learning Engineer As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You will learn and apply new techniques from open source packages and research publications, and ...

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions ...

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI) For quick apply, please reach ... Provide analysis of connected vehicle data to support new product developments and production ...

This Senior MLE will help us improve our automated outreach quality, building new agentic ... Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team Skills ...

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 ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

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Machine Learning Engineer New Grad information

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What job categories do people searching Machine Learning Engineer New Grad jobs in Michigan look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Engineer New Grad jobs? Cities in Michigan with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Michigan as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Stefanini Group

Allen Park, MI

Contractor

Posted 4 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 248-213-3677/navneet.pathak@stefanini.com

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 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:

  • J2EE, Logistics, Python, Machine Learning

Skills Preferred:

  • AIPGEE, Advance data Migration, API, Data Management

Experience Required:

  • 5+ years of experience in relevant field
  • Fully 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 Preferred

  • Automotive Supply Chain - Logistics

Education Required

  • Bachelor's Degree

Education Preferred

  • Certification 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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Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR