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. • Collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training. • Possess a wide range of technical skills, including knowledge of orchestration, storage, containerization, observability, SQL, programming languages, cloud platforms, and data processing. • Expertise covers 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 • Hands-on experience with Google Cloud Platform (GCP) • Familiarity with tools such as MLflow and Vertex AI • Knowledge of DevOps practices and tools, including Terraform • Experience with docker and 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