ML/AI Engineer
Actively Hiring
Full-time $104k - $152k Posted 9 months ago
Responsibilities
- check_circle Build and optimize databricks ETL/ELT pipelines for feature extraction, transformation, and loading from structured and unstructured data sources.
- check_circle Collaborate with ML engineers, data scientists, and software developers to deliver reliable, reusable, and versioned feature sets.
- check_circle Implement CI/CD pipelines, testing frameworks, and observability for data workflows.
- check_circle Develop feature stores, metadata tracking, and lineage tools to support data Ops.
- check_circle Ensure data quality, governance, and compliance across all data assets.
- check_circle Optimize performance and cost-efficiency of Databricks clusters and jobs for data workloads.
- check_circle Contribute to the architecture and design of the data platform and feature engineering framework.
- check_circle Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for Databricks.
- check_circle 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.
- check_circle Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling.
- check_circle Very good Azure and data & AI technology skills - specifically: Databricks / Python, Azure Datalake Store, Azure AI Search.
- check_circle Experience with DevOps practices, including Git, CI/CD using tools such as Azure Pipelines, or similar.
- check_circle Several years of experience in machine learning, data science, or a related field, with a strong understanding of statistics and data analysis.
- check_circle 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
- check_circle Competitive employee benefits, including comprehensive health insurance, dental and sports coverage, and opportunities for certified training.
- check_circle Flexibility in work arrangements, including home office options and flexible working hours.
- check_circle A positive, team-oriented environment that fosters mutual trust, creativity, and initiative.
- check_circle Opportunities for career growth within a global, innovative framework.
- check_circle A diverse, multicultural workplace with a strong emphasis on team collaboration and professional development.
Tags & Focus Areas
Fulltime Ai Machine Learning Data Science Pytorch Tensorflow Data Engineer Ai Engineer
About Munich Re
We’re adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. ...