Data Scientist (MLOps)

Data Scientist (MLOps)

Arbetsbeskrivning

The ideal candidate's favorite words are "learning," "data," "scale", and "agility". You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. MLOps is a key enabler and the goal is to drive standardized development & maintenance of AI Models.

Responsibilities

- Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with the engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
- MLOps Platform development
- AI Model development & maintenance
- AI Use case mining & consulting


Requirements

- Design and implement cloud solutions, build MLOps on cloud (GCP),
- Build CI/CD pipelines orchestration by GitHub Actions, Airflow, or similar tools.
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
- Data science models testing, validation, and tests automation
- Exposure to MLOps Open-source packages like Zen ML, Kubeflow, MLFlow, etc.
- Communicate with a team of data scientists, data engineers, architects, and document the processes

Sammanfattning

  • Arbetsplats: weITglobal
  • 1 plats
  • 6 månader eller längre
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 6 december 2022
  • Ansök senast: 8 december 2022

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