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Internship German Machine Learning Jobs in Indiana

coty

This internship will start per May or June, 1st 2026. We are Coty, our iconic portfolio of more ... Good communication skills in German and English HOW TO APPLY Have we aroused your interest? Then we ...

East Washington School Corp

Develop lesson plans, assessments, and project-based learning experiences. * Integrate ... Experience in manufacturing, engineering, machining, welding, automation, or industrial maintenance

CORSI CABINET GROUP

Production Intern

Indianapolis, IN

$13.50/hr

Interns are also expected to be punctual, attentive, to learn to become adaptable in a fast-paced ... Machining/Mill/Panel Line; Finish (Sanding/Scuffing, Flat Line, Spray, Wipe Stain), Kitting/Cart ...

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Internship German Machine Learning information

What are the key skills and qualifications needed to thrive as an Internship German Machine Learning, and why are they important?

To thrive as an Internship German Machine Learning, you need a solid understanding of machine learning concepts, programming skills in Python, and progress toward a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as experience using version control systems like Git, is typically required. Strong analytical thinking, problem-solving ability, and effective communication—especially in both English and German—help you collaborate within diverse teams. These skills and qualifications are essential for successfully contributing to machine learning projects and adapting to the fast-evolving tech industry.

What types of projects can I expect to work on during a German Machine Learning internship?

As a German Machine Learning intern, you'll typically assist with real-world projects such as developing and testing machine learning models, preprocessing datasets, and supporting the implementation of AI solutions in both German and international contexts. You may also help with data analysis, model evaluation, and documentation, often collaborating with data scientists and engineers. These projects provide hands-on experience with industry-standard tools and workflows, helping you build practical skills and a strong professional network.

What is an Internship German Machine Learning?

An Internship German Machine Learning is a temporary training position typically offered by companies or research institutions in Germany, focusing on practical experience in machine learning. Interns work on real-world projects involving data analysis, algorithm development, and model implementation under supervision. These internships help students or recent graduates gain hands-on skills, industry exposure, and networking opportunities in the rapidly growing field of artificial intelligence and machine learning.

What is the difference between Internship German Machine Learning vs Data Scientist German?

AspectInternship German Machine LearningData Scientist German
Required CredentialsBasic programming, coursework in MLAdvanced degree in data science, statistics, or related
Work EnvironmentInternship setting, learning-focusedFull-time, project-driven
Industry UsageEntry-level roles, training programsProfessional roles, decision-making

Internship German Machine Learning positions are typically entry-level, focusing on learning and skill development, often requiring basic programming and coursework. Data Scientist German roles are more advanced, requiring higher education and experience, with responsibilities in analyzing data and building models. The internship provides a stepping stone into the data science field, while the data scientist role involves applying expertise to solve complex problems.

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What job categories do people searching Internship German Machine Learning jobs in Indiana look for? The top searched job categories for Internship German Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Internship German Machine Learning jobs? Cities in Indiana with the most Internship German Machine Learning job openings:
Internship German Machine Learning jobs near you

Senior Computer Vision Engineer

Matrix Design Group

Newburgh, IN • On-site

$99.10K - $136.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.
We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position.
This position reports to the Manager of Software Systems.
Duties and Responsibilities
  • Prepare customer-facing presentations for custom model deployments
  • Implement CI/CD pipelines for models, data, and source code
  • Work with product and project managers to ensure that projects proceed on time and on budget
  • Work with other engineers to develop a working understanding of how the AI is developing
  • Document process steps to ensure reasonable human oversight
  • Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
  • Mentor junior engineers and interns
  • Participate in code reviews and sprint planning
  • Understand and apply best practices for object detection modeling
  • Understand and apply TensorFlow, PyTorch, and ONNX core concepts
  • Understand and apply hardware accelerator compilation and execution
  • Understand and apply Jupyter Notebooks/Google Colab concepts
  • Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Qualifications & Competencies
Employment Eligibility & Verification
All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time.
Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus.
  • 7+ years of experience in the ML space
  • An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch
  • Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO
  • Experience with containerization technologies such as Docker, Kubernetes, etc.
  • Experience developing software using one or more of the following languages (C/C++, C#, Python)
  • Experience with Linux and/or Windows OS
  • Experience with model, container, and package registries
  • Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
  • Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
  • Experience with multimodal models such as CLIP, GPT-4V, Llama
  • Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
  • Strong understanding of source control concepts and CI/CD pipelines
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills

Working Conditions
  • Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
  • Candidate may be required to work underground, but on an infrequent basis.
  • While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
  • Customer operations may contain airborne particles and allergens.
  • Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
  • Occasional travel and ability to work various shifts as required by customer.

Physical Requirements
The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits
  • First day coverage of all benefits - no waiting period
  • Premium free medical, dental and vision insurance - working spouse must take single major medical at their place of employment if offered
  • On-site health clinic
  • Basic Life (2x annual base salary at no cost)
  • Optional Life and Accidental Death and Dismemberment (AD&D) insurance
  • Short-Term and Long-Term Disability insurance (no cost)
  • 401(k) Plan with up to an 8% company match
  • FSA for Health Care and Dependent Care
  • 10 Paid annual holidays plus vacation time
  • Educational Reimbursement Program
  • Scholarship Program
  • Optional Gym Membership
  • ESports Room

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