07 set - Milano
Tmc
About This Vacancy
In this role, you will design and build scalable data pipelines and AI-powered solutions, transforming complex datasets into reliable products and actionable insights. If you are passionate about data engineering, machine learning, cloud technologies, and bringing AI use cases into production, this is your opportunity to make a tangible impact in an innovative environment.
Design, build, and maintain scalable data pipelines for batch and real-time ingestion, transformation, and processing.
Develop robust data models and integrate structured and unstructured data from multiple sources.
Develop, integrate, and deploy machine learning and generative AI solutions aligned with business needs.
Implement automated testing, versioning, deployment, monitoring, and performance optimisation across data and AI workflows.
Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into secure, reliable, and production-ready solutions.
What We Expect From You
Master’s degree in Computer Science, Computer Engineering, Data Science,
Artificial Intelligence, Mathematics, or a related field.
2–5 years of experience in data engineering, machine learning engineering, AI engineering, or a related role.
Strong programming skills in Python and solid knowledge of SQL.
Hands-on experience with ETL/ELT pipelines, data modelling, APIs, and distributed data processing technologies such as Spark.
Experience with at least one major cloud platform—Azure, AWS, or GCP—and its data and AI services
Knowledge of data lake, data warehouse, or lakehouse architectures and familiarity with orchestration tools such as Airflow or equivalent.
Understanding of machine learning workflows and experience with libraries or frameworks such as scikit-learn, PyTorch, or TensorFlow.
Familiarity with MLOps practices, CI/CD, Docker, model deployment, monitoring, and version control.
Experience with large language models, embeddings, retrieval-augmente
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