Must have

• Python

• Databricks

• CI/CD

• Cloud

• Machine learning

• AI

• English

Requirements description

• Master's degree in computer science or comparable practical experience
• 7+ years of hands-on experience in implementing production-level ML & AI solutions
• 4+ years of experience implementing solutions on popular cloud platforms (AWS/Azure), good knowledge of the main services.
• 5 years of experience working with MLOps and cloud machine-learning platforms like SageMaker, DataBricks
• Proficiency in (object-oriented) programming with Python, familiarity with TDD and clean code principles
• In-depth knowledge of python frameworks: cientific libraries /data wrangling (numpy, scipy, pandas), deep learning (pytorch, torchvision, detectron, tensorflow)
• Understanding of popular neural network architectures: CNN's, Transformers, Recurrent Networks

Offer description

We are seeking a Principal Machine Learning Engineer specializing in the productization of AI/ML-based features to join our Client Lab. The Client is an industry leader in creating automotive-grade consumer experiences. The mission is to revolutionize the in-cabin experience with iconic brands.

Your responsibilities

1. Design, build and maintain MLOps pipelines to support experimentation, continuous integration, and deployment (CI/CD), verification, validation, and monitoring of ML models in development and production
2. Implement solutions for automating the full end-to-end ML model development workflows
3. Continuously improve the efficiency of the MLOps workflows with industry benchmark and cutting-edge tools and best practices
4. Collaborate with multidisciplinary AI/ML teams to identify their ML workflow requirements and to implement these in the MLOps system