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Internship German Machine Learning Jobs in Lafayette, IN

Internship German Machine Learning information

See Lafayette, IN salary details

$24.5K

$41K

$84.7K

How much do internship german machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for internship german machine learning in Lafayette, IN is $40,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,300.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as an internship German machine learning?

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 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.

What are popular job titles related to Internship German Machine Learning jobs in Lafayette, IN?

For Internship German Machine Learning jobs in Lafayette, IN, the most frequently searched job titles are:

What job categories do people searching Internship German Machine Learning jobs in Lafayette, IN look for?

The top searched job categories for Internship German Machine Learning jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Internship German Machine Learning jobs?

Cities near Lafayette, IN with the most Internship German Machine Learning job openings:

Faculty Fellow - Artificial Intelligence

Ivy Tech

Lafayette, IN • On-site

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Provide instruction (classes and labs) within specific programs; assist academic administrators with curriculum development, student advising, program enrollment; and provide institutional support and community service. Fully support the College's mission and strategic plan initiatives. This position would support the Lafayette campus.
The purpose of a Faculty Fellow position is to provide meaningful teaching experience for recent graduates of masters or doctoral programs with limited classroom experience.
One academic-year contract with a potential for a second academic-year contract. Contingent upon continued funding and satisfactory performance. Two-year maximum allowed per individual per region.
This position is eligible for full-time employee benefits with exception of retirement benefits and tuition reimbursement.

Teaching:

Teach undergraduate courses in artificial intelligence and related disciplines.

Develop new courses and instructional materials in areas such as:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Responsible and Ethical AI
  • Data Mining and Analytic
  • Incorporate hands-on projects and industry-relevant tools into coursework.
  • Assess student performance and provide timely feedback.
  • Collaborate with faculty across departments.
  • Mentor students on research, internships, and career development.

Program Development and Service:

Assist in developing AI curricula and academic programs.
Participate in departmental meetings and events.

ESSENTIAL FUNCTIONS:

Instruction: Deliver assigned classes in accordance with college loading policy and course objectives. Develop and maintain course outlines, syllabi, lesson plans, assignments, tests, and other course materials. Maintain student records, attendance, grades, and other documentation as required. Maintain a safe, quality classroom/ lab, including equipment, supplies, inventory and maintenance.

Professional Development: Participate in professional development or other activities that may include in-services, courses, or seminars to advance instructional and technical skills as well as knowledge within the field of study.

Community Service: Participate in community service activities on behalf of the college to advance the college's relationships within its service area as appropriate for department/school.

Institutional Support: Provide institutional support as expected by college administration that may include curriculum development, classroom management, accreditation efforts, committee and task force assignments, attendance at commencement or other activities that are college-wide or specific to the department/school of the faculty member.

Advising: Provide student advising support as expected by college administration that may include assistance during pre-and regular registration periods and during posted office hours.

Program Management: Maintain office hours in accordance with the faculty loading guidelines in the Academic Support and Operations Manual (ASOM). Support Program Chair in program management activities.

OTHER FUNCTIONS:

Assist in the recruitment of students.
Develop community/industry contacts.
Serve and participate in campus, regional, and College-wide professional and community activities, committee meetings, and task forces.
Participate in student recognition ceremonies. Maintain budget requirements.

Tools/Equipment Needed: Must have strong working knowledge of current technologies appropriate to area of instruction. The above list of duties is not to be construed as an exhaustive list. Other duties logically associated with the position may be assigned.

Compensation: $55,000 salary base calculated on a 9-month academic year contract. Optional summer contract available based on enrollment and staffing needs.

Required Qualifications:

Masters degree in Computer Science, Software Development, Artificial Intelligence, Data Science, Electrical Engineering, or a closely related field by the appointment start date.
Demonstrated expertise in one or more areas of artificial intelligence.
Strong programming skills in languages such as Python, R, or Java.
Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience with generative AI and large language models.
  • Industry experience in AI or machine learning.
  • Commitment to ethical and responsible AI practices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Areas of Interest

Candidates with expertise in any of the following areas are encouraged to apply:

  • Machine Learning and Statistical Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics and Autonomous Systems
  • Human-AI Interaction
  • Reinforcement Learning
  • Explainable AI
  • AI Safety and Governance
  • Responsible and Ethical AI
  • Healthcare AI
  • Cybersecurity and AI

Ivy Tech is committed to supporting the well-being, growth, and financial security of our full-time faculty and staff. Our comprehensive benefits package includes:

Health & Wellness

  • Multiple medical plan options paired with a Health Savings Account with a generous employer contribution

  • Dental plan with no-cost preventive services and coverage for orthodontia

  • Vision plan with low-cost exams and allowances for glasses or contact lenses

  • Employee Assistance Program offering no-cost confidential counseling sessions, legal consultations, financial planning consultations, and other resources

  • Wellness program with opportunities to earn $250 in Wellness Rewards

  • Flexible Spending Accounts for healthcare (limited purpose) and dependent care

Retirement & Financial Security

  • 10% employer retirement contribution, fully vested after two years

  • Basic life insurance equal to annual salary paid by the College, with optional supplemental coverage

  • Short-term and long-term disability benefits

Educational Benefits

  • Fee remission for employees, spouses, and dependent children

  • Tuition assistance for undergraduate, graduate, and doctoral programs

  • Paid professional development opportunities

WorkLife Balance

  • Generous paid time off, including vacation, sick leave, holidays, and winter recess

  • Flexible work arrangements where available

  • Paid childbirth recovery leave (8 weeks)

  • Paid parental leave (4 weeks)

Additional Perks

  • Eligibility for Public Service Loan Forgiveness

  • Additional discounts on gym memberships, transportation, and various retail services

Ivy Tech is proud to offer benefits that support your health, your family, and your future-because when our employees thrive, our students and communities thrive too. For more information on Ivy Tech Benefits, visit https://careers.ivytech.edu/benefits.

Note: Employees who re-hire with the College within 180 days of leaving a full-time position with the College may be eligible for additional benefits depending on their bridged seniority date.


Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.