Opis oferty:

W ABB pomagamy przemysłowi wyprzedzać konkurencję - działać sprawniej i ekologicznie. U nas postęp to standard – dla Ciebie, Twojego zespołu i całego świata. Jako globalny lider dajemy Ci to, czego potrzebujesz, by to osiągnąć. Nie zawsze będzie łatwo, rozwój wymaga determinacji. Ale w ABB nigdy nie będziesz działać sam. Zarządzaj tym, co porusza świat.

Wymagania:

• Bachelor’s degree (or higher) in Computer Science, Physics, Statistics, Mathematics, Engineering or a related quantitative field.
• Minimum 4+ years of hands-on experience in machine learning/AI within industry — designing and deploying ML/AI projects.
• Strong practical expertise with Snowflake (data warehousing, Snowpark, stored procedures, dynamic tables etc.) this is mandatory.
• Proven experience on Azure cloud platform (Azure ML, Azure Data Factory, Azure Synapse etc.).
• Solid programming skills (Python, SQL) and software development experience (code versioning, testing, modular design).
• Experience working in Agile delivery frameworks and tools — particularly Azure DevOps (CI/CD pipelines, sprint planning, backlog management).
• Demonstrated track record of working on large scale ML projects: e.g., customer-retention/churn modelling, risk analytics, dynamic process modelling in an industrial/enterprise context.
• Understanding of MLOps lifecycle: deployment, monitoring, retraining, production support.
• Excellent communication skills and ability to work collaboratively across teams and geographies.

Dodatki i korzyści:

• Lead end-to-end ML/AI initiatives
• Design and build data pipelines and ML workflows leveraging Snowflake and Azure
• Develop and deploy machine learning models at scale in cloud environments
• Apply agile frameworks and tools (Azure DevOps)
• Collaborate with cross-functional teams
• Establish and promote best practices in MLOps
• Bring software development discipline into data science work
• Mentor junior data scientists
• Communicate results clearly to both technical and non-technical stakeholders