ML Engineer – Financial Services (Hybrid, Up to 20 WFA)

Gemmo AI; Genova; In loco; EUR 32.000 - 38.000; Tempo pieno

Descrizione del lavoro

An AI solutions provider in Genova, Italy, is seeking a Machine Learning Engineer with 1-2 years of experience. The role involves designing and integrating ML models into cloud infrastructures, collaborating with a diverse team, and maintaining data pipelines. Candidates should have a Master's in a relevant field and strong skills in Python and SQL. The position offers a full-time contract with a competitive salary and a hybrid work policy that requires in-office attendance for three or more days a week.

Servizi

Laptop and monitor provided

Paid lunch and coffee breaks

Up to 20 days work-from-anywhere

Competenze

• Master's degree in Data Science, Machine Learning, Computer Science or similar.
• Proficiency in Python and SQL.
• Familiarity with libraries such as Polars, XGBoost, and PyTorch.
• Knowledge of version control systems (e.g., Git).
• B2+ English proficiency.

Mansioni

• Design, develop, and integrate ML models into clients' cloud infrastructures.
• Collaborate with UI/UX designers and developers.
• Maintain scalability, reliability, and performance of pipelines.

Conoscenze

Proficiency in Python

Proficiency in SQL

Familiarity with Polars

Familiarity with XGBoost

Familiarity with PyTorch

B2+ English proficiency

Knowledge of Git

Formazione

Master's degree in Data Science, Machine Learning, Computer Science, Physics, Math, Engineering or similar

Strumenti

PostgreSQL

Snowflake

AWS

Azure

Descrizione del lavoro

An AI solutions provider in Genova, Italy, is seeking a Machine Learning Engineer with 1-2 years of experience. The role involves designing and integrating ML models into cloud infrastructures, collaborating with a diverse team, and maintaining data pipelines. Candidates should have a Master's in a relevant field and strong skills in Python and SQL. The position offers a full-time contract with a competitive salary and a hybrid work policy that requires in-office attendance for three or more days a week.