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Machine Learning Internship No Experience Jobs in Michigan

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

Crowe LLP

Machine Learning Engineer

Grand Rapids, MI · On-site

$62K - $100K/yr

Experience in fine-tuning large language models (LLMs). * Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ... Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop ...

Infinity Business Group

Be Seen First

Sales Professional (*no experience required*)

Lansing, MI · On-site

$60K - $100K/yr

You want to continue learning and growing as a professional * You make a good first impression and ... There is no requirement to go through payroll, and there is no minimum group size. We have industry ...

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All JobsMachine Learning JobsMachine Learning Internship No Experience JobsMachine Learning Internship No Experience Jobs in Michigan

Machine Learning Internship No Experience information

What is a machine learning internship with no experience?

A machine learning internship with no experience is an entry-level opportunity designed for students or individuals who are new to the field of machine learning and may not have previous professional experience. These internships typically focus on foundational skills such as data preprocessing, understanding basic algorithms, and using popular tools like Python, TensorFlow, or PyTorch. Interns are often provided with mentorship, training, and real-world projects to help them learn and apply machine learning concepts. The goal is to gain practical experience and build a portfolio, which can be helpful for future job opportunities in the field.

What types of projects or tasks are typically assigned to machine learning interns with no prior experience?

Machine learning interns with no prior experience are often assigned to support tasks such as data preprocessing, exploratory data analysis, and helping to clean or organize datasets. They may also assist with implementing, testing, or tuning basic machine learning models under the guidance of experienced team members. Interns are encouraged to participate in team meetings, contribute to code reviews, and learn about the deployment process, giving them valuable exposure to real-world workflows and collaboration within a machine learning team.

What are the key skills and qualifications needed to thrive as a machine learning intern with no prior experience, and why are they important?

To thrive as a Machine Learning Intern with no experience, you need a solid understanding of programming (especially Python), basic statistics, and foundational machine learning concepts, often demonstrated through coursework or personal projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected. Curiosity, eagerness to learn, problem-solving ability, and effective communication are standout soft skills in this position. These skills and qualities are crucial for adapting quickly, contributing to projects, and maximizing growth in a hands-on learning environment.

What is the difference between Machine Learning Internship No Experience vs Data Science Intern No Experience?

AspectMachine Learning Internship No ExperienceData Science Intern No Experience
Required CredentialsBasic programming skills, introductory knowledge of ML conceptsBasic programming skills, introductory knowledge of data analysis
Work EnvironmentTech companies, startups, research labsTech companies, consulting firms, research organizations
Employer & Industry UsagePrimarily in AI and ML-focused rolesBroader data analysis and business intelligence roles
Search & Comparison IntentUnderstanding entry-level ML roles for beginnersExploring data analysis internships for beginners

Both internships are entry-level roles requiring foundational skills in programming. Machine Learning Internships focus on developing algorithms and models, while Data Science Internships emphasize data analysis and visualization. The choice depends on your interest in AI/ML versus broader data analysis tasks.

What job categories do people searching Machine Learning Internship No Experience jobs in Michigan look for?

The top searched job categories for Machine Learning Internship No Experience jobs in Michigan are:

What cities in Michigan are hiring for Machine Learning Internship No Experience jobs?

Cities in Michigan with the most Machine Learning Internship No Experience job openings:

Machine Learning Internship No Experience jobs near you

Machine Learning Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 9 days ago

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 /
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.
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:Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science
Experience Required:5+ experience in relevant fieldUndertake 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 RequiredMaster's Degree
Education PreferredDoctorate
**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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