Waabi is seeking a Senior/Staff Machine Learning Ops Engineer to develop and implement MLOps pipelines for their autonomous transportation technologies. The ideal candidate should possess strong proficiency in machine learning principles and relevant programming languages, as well as experience with cloud platforms and automation tools
Job Summary
Waabi is a leader in Physical AI unlocking the next era of autonomous transportation with commercial trucks and robotaxis.
The role involves designing and automating end-to-end MLOps pipelines to ensure optimal model performance and reliability in production.
Candidates will collaborate with cross-functional teams to optimize machine learning processes for scalability, efficiency, and cost-effectiveness.
Matching Summary
Match Score: 85
Waabi is seeking a Senior/Staff Machine Learning Ops Engineer to develop and implement MLOps pipelines for their autonomous transportation technologies. The ideal candidate should possess strong proficiency in machine learning principles and relevant programming languages, as well as experience with cloud platforms and automation tools.
Skills & Requirements
Must-have
3-5 years MLOps or DevOps experience
Proficiency in Python programming
Experience with TensorFlow or PyTorch
Cloud platform expertise AWS Azure GCP
Kubernetes and Docker containerization
CI/CD pipeline automation knowledge
Model monitoring and performance maintenance
Nice-to-have
Infrastructure-as-code tools Terraform Crossplane
Big data technologies Apache Spark Hadoop
Data engineering practices and tools
A/B testing and model validation experience
Relevant MLOps certifications like AWS ML Specialty
Key Requirements
Bachelor's degree in Computer Science or related field