Machine Learning Internship (Remote)
NudgiFi Technologies (Ancona, Italy)
Remote · Full Time internship
10 applicants
- Stipend
- Stipend: INR 7,000 – INR 12,000 / month
- Duration
- 3 months
- Start
- Immediately
- Openings
- 2
Candidates must be ready to work remotely during specified IST hours, begin between early October and early November 2026, commit to a 3-month period, have related AI/ML skills and interests, with women seeking career beginnings or restarts particularly welcome.
- Work mode
- Work from home
- Resume
- Required to apply
About the internship
About the Internship
NudgiFi Technologies, a HealthTech and Behavior AI startup registered in Italy and the UK, is offering a remote internship for those keen on advancing the blend of artificial intelligence and machine learning. The company focuses on enhancing human well-being through positive behavioral reinforcement.
Responsibilities
- Design and implement machine learning algorithms to improve the Behavior AI platform.
- Conduct research to fine-tune algorithms and enhance model accuracy.
- Support preprocessing of data, feature extraction, and evaluation of models.
- Help build scalable and efficient AI deployment pipelines.
- Keep abreast of the latest AI and ML technology developments.
- Engage in brainstorming activities to propose innovative solutions to complex challenges.
Eligibility and Requirements
- Applicants must be able to work remotely from 12:30 PM to 9:30 PM Indian Standard Time, aligning with the company's European working hours.
- Availability to start the internship between October 2, 2026, and November 6, 2026.
- Commitment to a 3-month duration of the internship.
- Possess relevant skills and a genuine interest in AI and ML fields.
- Women looking to begin or resume their careers are especially encouraged to apply.
Perks
- Internship certificate upon completion.
- Letter of recommendation based on performance.
Additional Information
This is a fully remote, full-time internship providing a stipend of INR 7,000 to 12,000 per month. Immediate availability is preferred. The selected candidates will gain practical experience with custom large language model (LLM) training and AI pipeline development within a fast-paced startup environment focused on HealthTech innovation.