Machine Learning Engineer delivering real - world impact through efficient, adaptive ML systems in production. Collaborating with strategic partners and directly impacting AI research and product vision.
About the role
- Spring Internship - Machine Learning Engineer at G+D Netcetera, gaining hands-on experience in machine learning. Collaborate on projects and develop data-driven models in a supportive environment.
Responsibilities
- Contribute to ongoing, real-world projects
- Work with modern technologies and tools
- Receive guidance and continuous support from a dedicated mentor
- Collaborate with experienced professionals across teams
- Gain knowledge and experience in a selected specialization through hands-on learning
- Develop, implement, assess, and enhance data-driven models using various machine learning techniques
- Utilize multi-modal large language models (LLMs) for different downstream tasks in specific domains
- Perform ad-hoc analysis and present findings in a clear and concise manner
- Familiarize yourself with the assigned project ecosystem and its mission
- Actively participate in team coordination meetings and events
Requirements
- As a computer science student, you excel in a team-oriented environment, possess strong communication skills, and demonstrate familiarity with or interest in the following areas:
- Descriptive and predictive data analysis, data visualization, and evaluation
- Traditional machine learning approaches and deep learning (NLP, time series, etc.)
- Strong working knowledge of Python and key data science libraries like Scikit‑Learn, Pandas, PyTorch, Transformers
- Familiarity with the use of large language models (LLMs), retrieval augmented generation (RAG) and agentic concepts (MCP, A2A, etc.)
- Advantageous to have general computer science and software development skills
Benefits
- Flexibility: Adjust your time to work efficiently, be it working hours, part-time options, home office in our hybrid mode of work which will allow you to take care also of your studies and exams
- Education Fund: We'll get you couple of online courses for easy onboarding on the project that you'll work on
- Meals & Snacks: Enjoy a lunch allowance each working day, free fruit and drinks in the office
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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