ML Internship

Posted 3 Days Ago
Be an Early Applicant
5 Locations
Remote
Internship
Artificial Intelligence • Information Technology • Consulting
The Role
Join a 4-month internship focusing on Generative AI applications. Collaborate with an AI team, build ML infrastructure, and gain hands-on experience.
Summary Generated by Built In

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;
  • 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!

Top Skills

Docker
Genai
Git
Llms
Nlp
Python
PyTorch
TensorFlow
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The Company
HQ: Palo Alto, CA
572 Employees
On-site Workplace
Year Founded: 2010

What We Do

Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI.

We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.

Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.

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