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Internship Infosys Machine Learning Jobs in Michigan

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Internship Infosys Machine Learning information

What is the difference between Internship Infosys Machine Learning vs Data Science Intern?

AspectInternship Infosys Machine LearningData Science Intern
Required CredentialsBasic programming, understanding of ML algorithms, coursework in AI/MLStatistics, programming, data analysis coursework
Work EnvironmentCorporate setting, collaborative teams, project-basedResearch or corporate projects, data analysis tasks
Industry UsageTechnology, consulting, financeTech, finance, healthcare, research
Common Search IntentInternship opportunities, skills required, company-specific infoData analysis skills, project examples, career path

Internship Infosys Machine Learning focuses on applying machine learning algorithms in a corporate environment, often emphasizing programming and model deployment. Data Science Internships cover broader data analysis, statistics, and insights generation. Both roles require foundational technical skills, but Machine Learning internships are more specialized in AI/ML techniques, while Data Science internships encompass a wider range of data handling and analysis tasks.

How much does Infosys pay interns?

Interns at Infosys, including those in machine learning roles, typically receive stipends that vary based on location, educational background, and internship duration. On average, interns can expect to earn between $1,000 and $2,000 per month. Compensation may also include additional benefits such as mentorship and skill development opportunities.
Internship Infosys Machine Learning jobs near you

Machine Learning Engineering Intern

Mariana Minerals

Ann Arbor, MI • On-site

$25 - $35/hr

Internship

Posted 26 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
We are hiring a Machine Learning Engineering Intern to work on real, high-impact problems within our applied ML and operations team. You will contribute directly to building and improving models that influence real-world industrial systems and decision-making.
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to understand complex systems and apply ML techniques to improve performance, efficiency, and reliability.
What You'll Do
  • Work on a defined ML project with clear deliverables by the end of the internship
  • Build and experiment with models using Python, PyTorch/TensorFlow, or similar tools
  • Analyze real-world datasets to identify patterns, anomalies, and optimization opportunities
  • Support development of data pipelines, feature engineering, and model evaluation
  • Collaborate with engineers and domain experts to understand system behavior and constraints
  • Run experiments, validate results, and iterate based on findings
  • Document your work and present outcomes and learnings at the end of the internship

Qualification
  • Currently pursuing a degree in Computer Science, Machine Learning, Data Science, Chemical Engineering, or related field
  • Strong fundamentals in machine learning, statistics, and/or data analysis
  • Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, etc.)
  • Hands-on experience through projects, coursework, or internships
  • Ability to break down problems and execute independently
  • Clear communication skills and willingness to learn in a fast-paced environment

Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Our culture is built on three principles:
  • Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
  • Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
  • Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.

Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

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