Sr. Data Scientist
Working closely with data scientists to put their development into production. This means parallelizing, optimizing, tuning, testing, and wrapping their code that exists as a proof of concept into something that can be deployed.
- Model Ops
- Automated deployment, and monitoring
- Analytics software development
- Building production level ML/AI solutions, with solid software engineering and ML/AI principles
- Build tools to enable fast, reproducible, and organized experimentation by model developers
- Actively reaches out to the other teams (MAAP/MLE CoE) to be up-to-date regarding changes, developments and new possibilities.
With the following results (SMART)
- Code optimized for production
- Model and data pipelines production ready
- Legacy and newly built models running in production
Relevant knowledge, skills, competences & desired education level
- At least Master Degree in AI / Machine Learning / Software Engineering / Computer Science
- Can build an “end-to-end software product” which has machine learning component
- Strong Python and SQL skills
- A minimum of 5 years experience in building ML pipelines and models
- Experience in implementing production ready ML models using current ML techniques
- Experience with Big data technologies like PySpark
- Experience writing RESTful web services
- Experience with industry-accepted testing tools and frameworks
- Experience with DevOps technology (such as Docker, Kubernetes)
- Experience with enterprise source code management (such as GitHub)
- Experience with CI/CD for Machine Learning pipelines
