Machine Learning Engineer

Wind Tre is moving its Data-Driven transformation forward, the Data Science & A.I team has the objective to support this journey by developing Advanced Analytics and Artificial Intelligence use cases, leveraging on modern agile methodologies and applying innovative Machine Learning algorithms to extract and monetize value from the company’s big data.

We are looking for truly passionate Data Scientists, eager to challenge the business-as-usual and generate an impact at P&L level by applying data-driven methodologies to the business context.

Main responsibilities and activities

• Partner with and support Data Scientists to translate high-value business opportunities in efficient and dependable data-driven workflows
• Optimize, refactor or re-engineer complex analyses and models within a common framework of tools and libraries
• Play a key role in the industrialization of Data Science and ML products: task orchestration, model serving, monitoring, environment definition and migration

. Drive within the Data Science & AI Team the evolution of the Machine Learning automation architecture to spread best practices and increase the operational efficiency

Required Skills

• 3+ years track of records in Data Science or Machine Learning Engineering roles, in major consulting firms or big international companies
• Demonstrated experience on applying data-driven methodologies to real world business issues and opportunities
• Experience with modern Machine Learning algorithms (classification, clustering, forecasting, recommendation, reinforcement learning) and data-driven workflows (ingestion, cleaning, feature engineering, training, scoring)
• Professional knowledge of any Cloud provider, programmatic experience with the Google Cloud Platform is a plus
• Experience with application/model deployment on micro-services architectures
• Solid background on networking (public/private interfaces, subnets, firewalls, proxies, load balancers, HTTP/HTTPS/SSH protocols, certificates) and database architectures (OLTP/OLAP, SQL/No-SQL, DWH, data lakes)
• Fluent in Python, SQL and shell scripting, in particular libraries/tools like pandas, scikit-learn, Airflow, Docker, git, MLflow, Beam/Dataflow, Jinja, Flask. Spark is a plus
• 4+ years of relevant experience in Data Science / Machine Learning roles, in major consulting firms or big international companies
• Preferred: working experience on Telco companies

Education

MSc or PhD level in Computer Engineering, alternatively Data Science or equivalent, with a solid background in Computer Science

At WINDTRE we value diversity and are committed to keeping an open and inclusive work environment without any kind of distinction related to gender identity, sexual orientation, age, ethnicity and religious belief