Job Description

YOUR RESPONSIBILITIES:

• Develop next generation data driven models and algorithms for intelligent transportation use-cases
• Move developed models to production for model serving at scale and passionately own model lifecycle by monitoring and maintaining model performance (MLOps)
• Architect and deploy robust data infrastructure to support ML model training, evaluation, and deployment (e.g., MLflow, Airflow, Luigi, Metaflow, , BentoML)
• Maintain and monitor the overall health of data infrastructure once they are live
• Support tooling for data persistence, transformation, exploration and visualization (e.g., Spark, Hive, Django, Dash, Streamlit)
• Build and deploy data infrastructure on cloud (e.g., AWS, Azure)

Qualifications

BASIC QUALIFICATIONS:

• MS in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Computational Science, Mathematics, Machine Learning, Physics or Data Science
• 2+ years of work experience in deploying and maintaining data infrastructure in production environments
•  2+ years of work experience with Machine Learning techniques (e.g., Deep Learning, SVM, clustering, prediction, time series analysis) and its applications to solve challenging problems in a product development environment

PREFERRED QUALIFICATIONS:

• Industry experience deploying and maintaining ML models at scale
• Proficient in Python, C++ or Java
• Statistical background in Big Data analysis
• Familiar with agile development processes
• Experience in at least one of the following domains:

-Linux system administration

-IP networking

-AWS services, e.g., EC2, S3, Lambda, or similar services from other cloud providers

-Configuration management or provisioning tools, e.g., Ansible, Terraform, CloudFormation

-Container and Kubernetes

Additional Information

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science,Technology, Engineering & Mathematics) Initiatives

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)

• AWIM (A World In Motion)