Offer summary

Qualifications:

Pursuing a bachelor's degree or higher in Computer Science, AI/ML, Data Science, or related fields., Experience with Python and ML frameworks like PyTorch or TensorFlow., Knowledge of NLP, GenAI, and LLMs, along with basic Docker and Git skills., Upper-intermediate English proficiency and strong analytical thinking skills..

Key responsabilities:

Assist in building and optimizing Retrieval-Augmented Generation workflows.

Help design and experiment with autonomous agents for task automation.

Scrape, curate, and label domain-specific datasets for model training and evaluation.

Support the development of GenAI-powered demos and communicate results to various audiences.

Job description

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;

- 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!

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