ML Internship
Bulgaria
Provectus
Provectus provides Artificial Intelligence & Machine Learning Consulting Services, helping businesses achieve their objectives through AI.
Join us for a 4-month hands-on internship focused on Generative AI (GenAI) applications and get your job! Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We're looking for motivated interns to work closely with our AI team on cutting-edge internal projects.
Timeline:Application close date: April 21stProgram starts: May 1stResults: September 1stDuration: 4 months
Language: EnglishFormat: online topics and practical tasks, regular sessions with mentors.
We're looking for motivated interns to work closely with our AI team on cutting-edge internal projects.
Timeline:Application close date: April 21stProgram starts: May 1stResults: September 1stDuration: 4 months
Language: EnglishFormat: online topics and practical tasks, regular sessions with mentors.
Who You are?
- This internship is a great stepping stone for aspiring AI/ML engineers, data scientists, and product-minded technologists. Students pursuing a bachelor's degree or higher technical education in disciplines like Computer Science, Information Technology, AI/ML, Data Science, and Information Science & Engineering are especially encouraged to apply as well.
- Successful candidates will fit the following profile, which reflects both our technical needs and team culture: - Experience with Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow);- Knowledge of NLP, GenAI, and LLMs;- Basic knowledge of Docker and Git;- Upper-intermediate level of English;- Analyticak thinking skills and problem-solving skills;- Ability to learn quickly;- Ability to work independently and adapt to a fast-paced environment;- Ability to collaborate effectively across groups and cultures.
What You’ll Work On:
- RAG Pipelines – Assist in building and optimizing Retrieval-Augmented Generation workflows;
- Agentic Workflows – Help design and experiment with autonomous agents for task automation;
- Data Work – Scrape, curate, and label domain-specific datasets to train and evaluate models;
- Demos & Presentations – Support the development of GenAI-powered demos and help communicate results to technical and non-technical audiences.
Expectations From You:
- Growth Mindset & Curiosity: - Show initiative, rapid learning ability, and openness to new ideas;- Actively seek feedback and iterate on work products and approaches;- Demonstrate increasing independence and responsibility over time.
- Technical Execution: - Contribute to internal initiatives such as MVP development of internal tools or accelerators, demos and prototypes for future offerings, and research-driven experiments (e.g., GenAI, ML ops automation);- Write clean, modular, and maintainable code following our internal standards.
- Collaboration & Communication: - Work closely with assigned mentors and cross-functional team members;- Participate in regular check-ins, team meetings, and demo days;- Clearly communicate progress, blockers, and learnings.
What you’ll get?
- Practical experience with LLMs, vector databases, and orchestration tools;
- We will help you explore emerging technologies and best practices that the market demands;
- Exposure to real-world challenges and rapid prototyping;
- Guidance from seasoned Provectus professionals in the field of AI and ML, helping you navigate challenges and enhance your learning experience;
- Practice-oriented approach. A chance to contribute to meaningful internal GenAI products;
- A portfolio-building opportunity that can set you up for a full-time role with us or accelerate your career in the field;
- Remote role with the possibility of working in-office, depending on location.
How To Get Started?
- Send your application: fill in all the required fields and attach your CV;
- Pass the initial interview with the recruiter;
- Receive and complete the entry technical assessment task to give us an idea of your current knowledge. You should submit it within 5 days after the interview to proceed;
- Pass the technical interview;
- Receive an invitation to the program and start on May 1st;
- Work hard, be curious, show good results, and you’ll get a job at Provectus!
Don't let this opportunity slip through your fingers - apply now!
Job stats:
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Category:
Machine Learning Jobs
Tags: Computer Science Docker Engineering Generative AI Git LLMs Machine Learning ML infrastructure MVP NLP Pipelines Prototyping Python PyTorch RAG Research TensorFlow
Perks/benefits: Career development Startup environment
Region:
Europe
Country:
Bulgaria
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