AI Engineer: Scale Data Products & ML Pipelines

Reale Group; Torino; In loco; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

Reale Group is seeking a data-focused engineer/scientist to collaborate with data teams to automate, optimize, and scale data products for robust algorithms in an industrial setting.

You will work with stakeholders to explore data, validate approaches, and monitor model performance while deploying solutions using Azure, Docker, Kubernetes, and Power BI. Fluency in English is required.

Competenze

• Degree in Computer Science, Statistics, Mathematics, Economics, or similar.
• 2+ years of engineering experience with large data systems (SQL, Hadoop, Spark).
• 2+ years programming in Python, Scala, or C#.
• 2+ years experience with data science tools (Python, R, MATLAB, SAS, etc.).
• Experience with DevOps and Azure data services.
• Fluent written and spoken English.

Mansioni

• Collaborate with stakeholders to formulate code approaches for problems using algorithms and data sources.
• Apply data exploration techniques to discover opportunities and improve performance.
• Interpret results, validate approaches, and monitor and iterate to improve data products.
• Engage with stakeholders to deliver clear, actionable insights influencing product and service improvements.
• Participate in peer reviews and learn new methods to increase impact of the data product.
• Assist DevOps in selecting best operational architecture and monitor ML model performance.

Conoscenze

Data engineering

Programming languages

Data science fundamentals

Communication skills

DevOps mindset

Formazione

Degree in Computer Science, Statistics, Mathematics, Economics, or similar

Master in Artificial Intelligence

Strumenti

Azure Data Factory

Azure Mapping Dataflow

Azure Databricks

Azure Machine Learning

Docker

Kubernetes

PowerBI

Descrizione del lavoro

Reale Group is seeking a data-focused engineer/scientist to collaborate with data teams to automate, optimize, and scale data products for robust algorithms in an industrial setting.

You will work with stakeholders to explore data, validate approaches, and monitor model performance while deploying solutions using Azure, Docker, Kubernetes, and Power BI. Fluency in English is required.