Engineer vacancy in Warsaw Poland

We only consider candidates with a CV. To make sure we receive your CV, use the "send CV" function on your right or use mail [email protected]

Tasks:

- Hiring and leading the Data Engineering and MLOps team;

- Developing scalable and reliable ML infrastructure components to facilitate the deployment of ML models;

- Closely cooperating with the ML team, core platform developers, and architects for the maximum impact across the organization;

- Being a critical resource to implement the research team's ideas and bring them to market.

Must-haves:

- Experience in building scalable and reliable ML infrastructure components and data ingestion and processing pipelines for 4+ years;

- Experience in deploying ML APIs/containers – such as Docker, Kubernetes, or OpenShift – to the public cloud (Azure, AWS, or Google Cloud);

- Experience with ML lifecycle platforms (MLflow, Kubeflow);

- Experience in designing data processing pipelines using Kafka, Elasticsearch, and Kibana;

- Knowledge of any tool for logging and monitoring, such as Grafana, Prometheus, Splunk, etc.;

- Experience with Python;

- Level of English – Intermediate.

Nice-to-naves:

- Experience with serverless platforms, such as AWS Lambda, Google Cloud Functions, Nuclio, Knative, etc.;

- Knowledge of deployment management tools, such as Terraform or Helm;

- Experience with Data Science tools in an AWS environment;

- Experience in progressive delivery, such as A/B testing, Canary deployment, and multi-armed bandit;

- Experience in managing Linux systems – the customer uses Ubuntu/Debian for bare metal servers and Amazon Linux in EKS and EC2 instances;

- Experience with a bare-metal Kubernetes cluster.