Senior ML & Data Engineer: LLMOps on Azure Databricks
Ubique Systems · Netherlands ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Data engineering
Senior ML & Data Engineer building AI/ML solutions for the banking and insurance sector in Amsterdam: building and optimizing ML pipelines, deploying LLM-driven solutions, and designing ETL workflows on Azure Databricks. Core stack is Python, SQL, PySpark and LLMOps in a hybrid arrangement.
A technology solutions company in Amsterdam is seeking a Senior ML & Data Engineer to create innovative AI/ML solutions in the banking and insurance sector.
De volgende informatie geeft een overzicht van de vaardigheden, kwaliteiten en kwalificaties die nodig zijn voor deze functie.
This hybrid role requires expertise in LLMOps and Azure Databricks, hands-on engineering skills, and the ability to engage with stakeholders effectively.
Key responsibilities include building and optimizing ML pipelines, deploying LLM-driven solutions, and designing ETL workflows. xgiwjmb
Ideal candidates will have strong Python, SQL, and PySpark skills along with a solid background in advanced analytics.
De volgende informatie geeft een overzicht van de vaardigheden, kwaliteiten en kwalificaties die nodig zijn voor deze functie.
This hybrid role requires expertise in LLMOps and Azure Databricks, hands-on engineering skills, and the ability to engage with stakeholders effectively.
Key responsibilities include building and optimizing ML pipelines, deploying LLM-driven solutions, and designing ETL workflows. xgiwjmb
Ideal candidates will have strong Python, SQL, and PySpark skills along with a solid background in advanced analytics.