e-commerce • online retail • automotive spare parts e-commerce • internet • online
5001 - 10000
September 16
Airflow
Apache
Cloud
Google Cloud Platform
Grafana
Hadoop
Kafka
Kubernetes
MySQL
Prometheus
Python
Spark
SQL
Terraform
Go
e-commerce • online retail • automotive spare parts e-commerce • internet • online
5001 - 10000
• Implement the Reinforcement learning (RL) solutions and different non-AI approaches to production • Create pipelines for deploying models • Collaborate with developers who are responsible for displaying prices and with data analytics and data scientist who are coming up with models and algorithms. • Create and maintain monitoring for models, business metrics, technical metrics, data science metrics • Ensure stability of whole infrastructure of the team
• Over 3 years of experience in MLOps, with experience do monitoring, CI\CD, and building a pipeline for output models to production. • Experienced with solution infrastructure design • Familiar with the Data Science systems and workflow, esp. with all aspects around model operationalization • Experienced with building CI/CD pipelines using Gitlab, Google Cloud • Experienced in GCP, especially data pipeline components, CI/CD, k8s, and ML-relevant managed services • Experiment with container technology and orchestration platforms using Kubernetes • Skilled in Python • Familiar with SQL (Clickhouse and MySQL) • Workflow management platforms such as Airflow • English B2 • Nice to have • Developing solutions using automation tools such as Terraform • Experience with Vertex AI, Vertex Pipelines, etc. • Stream processing platforms such as Apache Kafka • Hadoop ecosystem, Apache Spark, or similar • Proficiency with monitoring tools such as Grafana, Prometheus, EvidentlyAI
• Competitive salaries based on your professional experience • Fast growing international company with stable employment • Annual vacation and 1 additional day off on your birthday • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members • 24/7 hotline and online sessions • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching • Free English and German language classes • Flexible working hours and hybrid work
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