Senior ML & Data Engineer: LLMOps on Azure Databricks

Ubique Systems; Amsterdam; Hybrid; EUR 70,000 - 90,000; Full time

Job summary

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. 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. Ideal candidates will have strong Python, SQL, and PySpark skills along with a solid background in advanced analytics.

Qualifications

• Strong proficiency in Python, SQL, and PySpark.
• Hands-on experience with Azure and Databricks.
• Familiarity with LLMs and NLP techniques.
• Solid understanding of distributed systems and design principles.
• Experience in Data Science or Advanced Analytics.

Responsibilities

• Build and optimize ML/data pipelines using Python, SQL, and PySpark.
• Develop and deploy LLM-driven solutions focusing on LLMOps.
• Design ETL workflows and distributed data processing systems.
• Translate business requirements into scalable data solutions.

Skills

Python

SQL

PySpark

Azure

Databricks

MLOps

LLMOps

NLP

Data transformation

Distributed systems

Job description

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. 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. Ideal candidates will have strong Python, SQL, and PySpark skills along with a solid background in advanced analytics.