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Munich Re
AI

ML/AI Engineer

Munich Re · Princeton, NJ · $104k - $152k

Actively hiring Posted 7 months ago

Responsibilities

  • Build and optimize databricks ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources.
  • Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets.
  • Implement CI/CD pipelines, testing frameworks, and observability for data workflows.
  • Develop feature stores, metadata tracking, and lineage tools to support data Ops.
  • Ensure data quality, governance, and compliance across all data assets.
  • Optimize performance and cost-efficiency of Databricks clusters and jobs for data workloads.
  • Contribute to the architecture and design of the data platform and feature engineering framework.
  • Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for Databricks.
  • Expertise with libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, Databricks, MLFlow, dvc, dbt) and the ability to select the right tools for the use case.
  • Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling.
  • Very good Azure and data & AI technology skills - specifically: Databricks / Python, Azure Datalake Store, Azure AI Search.
  • Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar.
  • Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis.
  • Experience with Azure especially with data and ML services, containerization (Docker.

Preferred qualifications

  • Advanced Degree: Master’s degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience.
  • Experience with Big Data: Strong proficiency with big data technologies such as Azure Databricks and Spark.
  • Leadership Experience: Previous experience leading a team of data scientists or engineers.

Benefits

  • Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training.
  • Flexibility in work arrangements, including home office options and flexible working hours.
  • A positive, team-oriented environment that fosters mutual trust, creativity, and initiative.
  • Opportunities for career growth within a global, innovative framework.
  • A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Data Science Pytorch Tensorflow Data Engineer Ai Engineer
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