Our customer is looking for a Senior ML Ops Engineer to elevate their algorithm team and develop & improve their processes, including data ingestion and transformation pipelines, model development and continuous testing and deployment. This is an interim role with 50% allocation, but can expand and become longer term project.
The ideal candidate for the assignment has:
- A proven track record with minimum 5 years of ML Ops or Dev Ops experience
- Experience in engineering and deploying ML models into production
- The ability to author or curate easy to understand and usable code and tools for other team members
- Excellent skills in Python (PyTorch) and strong familiarity with Numpy, Pandas, plotting as well as cloud computing.
- Master’s Degree in Computer science or a similar field.
- A strong familiarity Tensorflow (lite, and micro) and Javascript is a plus