Machine Learning Internship

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 21st

Program starts: May 1st

Results: September 1st

Duration: 4 months

Language: English

Format: 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;
• - Analytical 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;
• 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 initial interview with the recruiter;
• 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!