Machine Learning Internship

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?**:

- 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?**:

- 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