ML Engineer — Internship to Full‑Time (AI/CV)

Gemmo AI; Turbigo; In loco; EUR 50.778 - 60.822; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation bonus of €3,000

Food allowance of €600

Monthly travel reimbursement up to €370

Brand new Apple M5 14inch equipment

Mentorship and fast promotion

Annual team travel to Dublin for offsite

Descrizione del lavoro

Gemmo AI in Turbigo, Italy, is seeking a Machine Learning Engineer intern to work on innovative AI solutions in financial services and computer vision. Candidates will participate in developing machine learning models and APIs while benefiting from a strong mentorship program that often leads to full-time employment. The internship offers a gross compensation of €830 per month, plus additional allowances. Work is remote, with flexible hours, allowing collaboration with a technical-first team to deliver impactful AI solutions.

Competenze

• Experience with training custom ML models using PyTorch and XGBoost.
• Familiarity with API development.
• Good understanding of relational databases and experience with querying and managing data.

Mansioni

• Work on Machine Learning solutions for financial services.
• Contribute to Computer Vision pipelines deployed in pharmaceutical environments.
• Collaborate closely with senior engineers and enterprise clients.

Conoscenze

Training custom ML models using PyTorch

Familiarity with API development

Good understanding of relational databases

Knowledge of version control systems (e.g., Git)

B2+ English proficiency

Formazione

Master's or Bachelor's degree

Strumenti

PyTorch

XGBoost

SQL

Azure

Snowflake

Descrizione del lavoro

Gemmo AI in Turbigo, Italy, is seeking a Machine Learning Engineer intern to work on innovative AI solutions in financial services and computer vision. Candidates will participate in developing machine learning models and APIs while benefiting from a strong mentorship program that often leads to full-time employment. The internship offers a gross compensation of €830 per month, plus additional allowances. Work is remote, with flexible hours, allowing collaboration with a technical-first team to deliver impactful AI solutions.