MLOps engineer (offline)

Responsibilities:
- Analyze the MLOps tooling landscape and build reusable integrations of the Neu.ro platform with best-in-breed tools for each stage of the ML project lifecycle
- Participate in the debug and development of platform services, pipeline engine and set of related tools
- Provide MLOps for company’s internal ML team in various domains (CV, NLP, video processing)
- Provide MLOps for diverse external teams: build complex and reproducible pipelines, including data management, experimentation, model training, deployment into production and maintenance
- Contribute to the company’s presence in specialized ML/MLOps communities and conferences

Requirements:
- Eagerness to dive into an emerging domain and readiness to learn and evaluate new tools on a regular basis
- At least 1 year of software development, DevOps, MLOps, or ML experience
- Work experience with Python
- Knowledge of Docker and at least a basic understanding of Kubernetes and cloud technologies
- Ability to communicate in English with team members
Would be a plus
- Knowledge of ML products development and deployment practices (data versioning, model management, experiment tracking, reproducibility, etc)
- Familiarity with open-source MLOps tools and frameworks (Pachyderm, KubeFlow, MLFlow, Seldon, etc)
- Russian at an advanced level

Benefits:
- Friendly, respectful and highly professional team with team buildings and coffee sessions (yet in online mode during the pandemic)
- Stock options
- Travel opportunities (when the borders are finally open)
- Unlimited vacations
- Health insurance (in Russia and Ukraine)
- HW and SW licenses on demand

Site- https://neu.ro/