Senior MLOps Engineer

2 days ago

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Big data • Hadoop • NoSQL • Spark • Kafka

51 - 200

Description

• MLOps Engineer is responsible for streamlining machine learning project lifecycles by designing and automating workflows • Implementing CI/CD pipelines • Ensuring reproducibility, and providing reliable experiment tracking • They collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training • MLOps Engineers possess a wide range of technical skills, including knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing • Their expertise also covers various ML algorithms and distributed training in environments like Spark, PyTorch, TensorFlow, Dask, and Ray • MLOps Engineers are 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 cloud services (Azure / AWS / GCP) • Experience in frameworks such as Databricks • Familiarity with tools like MLflow, W&B, and Neptune AI from the operations perspective • Experience with containerization technologies like Docker and basic knowledge of container orchestration platforms like Kubernetes • Understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI

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