GetInData | Part of Xebia
GetInData | Part of Xebia is a company specializing in Big Data solutions, providing a variety of platforms and services to help businesses turn their data into valuable assets. Their offerings include Machine Learning platforms, a Modern Data Platform for self-service analytics, a Streaming Analytics Platform for real-time data processing, and comprehensive Data Science tools. Established in 2014, GetInData focuses on building efficient data infrastructures and providing training and support to improve data management productivity. They work with a range of open-source and public cloud technologies, and emphasize a collaborative, client-focused approach in delivering their solutions.
Big data • Hadoop • NoSQL • Spark • Kafka
Senior MLOps Engineer
March 19
GetInData | Part of Xebia
GetInData | Part of Xebia is a company specializing in Big Data solutions, providing a variety of platforms and services to help businesses turn their data into valuable assets. Their offerings include Machine Learning platforms, a Modern Data Platform for self-service analytics, a Streaming Analytics Platform for real-time data processing, and comprehensive Data Science tools. Established in 2014, GetInData focuses on building efficient data infrastructures and providing training and support to improve data management productivity. They work with a range of open-source and public cloud technologies, and emphasize a collaborative, client-focused approach in delivering their solutions.
Big data • Hadoop • NoSQL • Spark • Kafka
📋 Description
• MLOps Engineer responsible for streamlining machine learning project lifecycles • Designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility and reliable experiment tracking • Collaborating with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training • Knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing • Expertise in various ML algorithms and distributed training in environments like Spark, PyTorch, TensorFlow, Dask, and Ray. • Essential for optimizing and maintaining efficient ML processes in organizations
🎯 Requirements
• Proficiency in Python, as well as experience with scripting languages like Bash or PowerShell • Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Prefect, Dagster, etc • Understanding of ML algorithms and distributed training, e.g., Spark / PyTorch / TensorFlow / Dask / Ray • Experience with GCP and BigQuery DWH platform • Hands-on experience with Kubeflow and Vertex AI • Familiarity with tools like MLFlow from the operations perspective • Experience with containerization technologies like Docker and knowledge of container orchestration platforms like Kubernetes • Understanding of continuous integration and continuous deployment (CI/CD) practices • Ability to identify and analyze problems in the workflow (in all the teams involved), propose solutions, and navigate complex technical challenges
🏖️ Benefits
• 100% remote work • Flexible working hours • Possibility to work from the office located in the heart of Warsaw • Opportunity to learn and develop with the best Big Data experts • International projects • Possibility of conducting workshops and training • Certifications • Co-financing sport card • Co-financing health care • All equipment needed for work
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