MLOps Engineer

What you are going to do

• Participate in entire lifecycle of Data Science based projects — from design to development, resource planning and support.
• Help to build and support ML infrastructure including CI/CD, dev/test/stage environments, data processing pipelines, machine learning workflows.
• Introduce tools for managing features, experiments, and payload for ML-based services and pipelines.
• Research approaches to data processing including batch and streaming, data quality management, data/pipelines orchestration etc. to improve efficiency of DS processes.

Requirements

• Work experience: 3-6 years.
• We expect experience in working with any tools and services for managing DS infrastructure (e.g. MLflow, Airflow, Kubeflow, Argo Workflow, DVC or similar).
• We expect understanding of what ML is, namely the entire ML lifecycle and how to prepare, build, deploy and resign ML Models. Also need to prepare environment for ML engineers (Jupyterlab, Cloud VMs, RBAC etc).

Nice to have:

• Basic understanding of Computer Vision/NLP.
• Experience with tools for managing data flows (e.g. Spark, Kafka, Presto, Hive, Flink, Cloud (any of GCS, AWS, AZ), MySQL, ClickHouse etc). We don’t expect knowledge of all of them, but it’s necessary to get an idea about what it is, and what it is used for.
• Knowledge of Python, SQL/NoSQL, Async, gRPC, batch/streaming, Golang, JavaScript and ability to learn and use any other instrument within a short period of time is highly recommended.
• Experience with any of IaC/DevOps tools: Terraform/Ansible/ArgoCD/etc.
• We also expect that you can explain the background and consequences of your technical decisions to any engineer, prove its correctness and propose alternatives.
• Our spoken languages are English and Russian.

We offer

• A flexible work schedule, official employment compliant with the Labor Code. After one year of employment, workers are eligible for the Office Without Borders program, which allows them to move temporarily to and work from any location in the world.
• Relocation to Cyprus or Kazakhstan at the company's expense, relocation package.
• Regular external and internal training. Employees have the opportunity to attend professional conferences as participants or speakers.
• Partially or fully paid supplementary training courses.
• Monthly “Fun Day” activities — corporate events in various formats, ranging from standup nights to hikes in the mountains.
• Something nice on important dates — company gifts to mark weddings, the birth of a child, and birthdays.