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ML/AI Engineer

Location Princeton, United States Job type Full-Time Work mode Hybrid Job level Professional Job ID 10057 Company Munich Re America Services Employment type Regular Area of expertise Information Technology
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Job Overview:

We are seeking a highly skilled Senior Data Engineer – Databricks Platform (ML & Feature Engineering Focus)with a strong software engineering backgroundto join our AI/ML Engineering GSI IT Team. In this role, you will befocused on building a Databricks-based data platform that powers machine learning and advanced analytics. This role is ideal for someone who thrives at the intersection of data engineering, ML infrastructure, and software development, and is passionate about enabling scalable, production-grade feature engineering pipelines.

Key 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.

Qualifications:

  • 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.
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Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

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