Spring Internship - Machine Learning Engineer (Skopje, Bitola & Ohrid)
G+D Netcetera
/job-details/3224
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G+D Netcetera invites applications for the 2026 Spring Internship Program.
The program offers interns the opportunity to gain hands-on experience by contributing to real projects and working with modern technologies in a professional and supportive environment.
As an intern, you will:
- 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
You will benefit from a structured onboarding process, access to necessary equipment, and participation in learning initiatives and internal training programs.
At G+D Netcetera, we value collaboration, knowledge exchange, and diversity, and we are committed to providing interns with a meaningful and growth-oriented experience.
**Eligibility criteria:**
Due to legal limitations, we are only able to offer internships to applicants below the age of 34.
**Valid until 09.03.2026**
### **Your Tasks**
Learn all about a selected specialization:
- 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
### **Your profile**
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
This internship round will last for three months: April & May with 50% capacity meaning half-time, and June with 100% or full-time. Within legal and company policies, Netceterians/you can choose whether to work remotely or from a G+D Netcetera office and enjoy flexible working hours. This hybrid working model demonstrates our commitment to achieving the best suitable private and professional life balance.
Expected start date: **1st of April**
### 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
The program offers interns the opportunity to gain hands-on experience by contributing to real projects and working with modern technologies in a professional and supportive environment.
As an intern, you will:
- 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
You will benefit from a structured onboarding process, access to necessary equipment, and participation in learning initiatives and internal training programs.
At G+D Netcetera, we value collaboration, knowledge exchange, and diversity, and we are committed to providing interns with a meaningful and growth-oriented experience.
**Eligibility criteria:**
Due to legal limitations, we are only able to offer internships to applicants below the age of 34.
**Valid until 09.03.2026**
### **Your Tasks**
Learn all about a selected specialization:
- 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
### **Your profile**
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
This internship round will last for three months: April & May with 50% capacity meaning half-time, and June with 100% or full-time. Within legal and company policies, Netceterians/you can choose whether to work remotely or from a G+D Netcetera office and enjoy flexible working hours. This hybrid working model demonstrates our commitment to achieving the best suitable private and professional life balance.
Expected start date: **1st of April**
### 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
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