Data Scientist AI Engineer – Bludigit
Bludigit, a digital transformation arm of Italgas, is looking for a Data Scientist AI Engineer to design and build the data and technology foundations needed to support advanced analytics and AI solutions.
Job Description
The role involves working closely with AI and business teams to turn data into strategic assets and accelerate AI-driven solutions across the organization.
Responsibilities
Support the group strategy by adopting modern data architectures for AI and generative AI.
Design, develop and manage scalable, reliable, automated data pipelines to feed models and analytical systems.
Define data strategy and implementation plans for AI initiatives.
Collaborate with internal stakeholders to improve accessibility, quality and governance of corporate information assets.
Manage AI, generative AI and data analytics projects, ensuring efficient integration and orchestration of data flows.
Work with Digital Factory Agile teams to enable algorithm development by providing clean, versioned data.
Coordinate and support external vendors in technical integration and data platform activities.
Ensure an end-to-end approach for AI projects from data foundation design to continuous improvement.
Guarantee compliance with MLOps and DataOps best practices, including versioning, monitoring and reproducibility.
Promote a data-driven culture and use of modern data infrastructure to accelerate AI projects.
Technical Skills
At least 5 years of experience in Data Scientist, Data Engineer or MLOps Engineer roles on complex data-driven or AI-driven projects.
Degree in Computer Science, Engineering, Mathematics, Physics or related disciplines.
Strong knowledge of data transformation technologies, ETL/ELT and data orchestration (e.g., Azure Databricks, Azure Data Factory, Delta Lake, Kafka).
Experience with enterprise cloud and data platform solutions, preferably Microsoft and Databricks.
Proficiency with SQL and NoSQL databases and modern data lake / warehouse solutions.
Experience with MLOps tools (MLflow, Unity Catalog) and concepts of data versioning, monitoring, CI/CD.
Good programming skills for data manipulation and AI (Python, PySpark).
Familiarity with open-source and commercial LLMs and AI Agents for pipeline integration.
Knowledge of Agile and Waterfall development methodologies.
Soft Skills
Strong focus on positioning data as a strategic asset.
Excellent communication and stakeholder interaction skills.
Flexible mindset and results orientation.
Holistic vision and ability to design scalable solutions over time.
Why Join Us
Be a key player in building the data foundation that enables AI and generative AI at scale.
Work on concrete, strategic projects with high industrial impact.
Collaborate with a multidisciplinary team (Data Scientist, Data Engineer, MLOps, Business).
Dynamic, technologically advanced environment with opportunities for technical and architectural growth.
Location
Milano or Torino.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industry: Oil and Gas
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