MLOps / DevOps for ML 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 development of platform services, pipeline engine and set of tools

- Support company’s internal ML team with MLOps best practices

- Communicate with external clients to distinguish their needs and issues, build the ML projects from scratch, or migrate the clients to the Neu.ro platform

- Provide MLOps for diverse global teams: building complex automated reproducible pipelines for the entire ML project lifecycle, including data management, experimentation, model training, deployment into production and maintenance

- Contribute to the company’s presence in specialized ML/MLOps communities

Requirements

- Eagerness to dive into an emerging domain and readiness to learn and evaluate new tools on a regular basis

- 3+ years of production-grade MLOps ideally, software development (SD), ML, or DevOps

- Knowledge of best practices in SD (code versioning, CI/CD)

- 3+ years of Python development exp

- DevOps skills (Well-known Cloud Providers, Kubernetes, Docker, Bash)

- Spoken English at a high level (the team is spread around the globe)

- A Bachelor’s degree in Computer Science, Software Engineering or a related field

Would be a plus

- Knowledge of the best ML projects practices (data versioning, model versioning, experiment tracking, reproducibility, etc.)

- Familliarity with open-source MLOps tools and frameworks (Pachyderm, KubeFlow, MLFlow, Seldon or their alternatives)

- Russian language knowledge

Benefits

- Opportunity to study up to 20% of work time

- Friendly, respectful and highly professional team

- Stock options

- Travel opportunities

- Unlimited vacations

- Health insurance