Data Science Engineer
2 weeks ago
We are seeking a skilled Data Science Engineer to join our team as an MLOps Engineer. This role is crucial to the success of our company, and we are looking for candidates with outstanding skills and experience in designing and automating machine learning workflows.
About the RoleThis position is responsible for streamlining machine learning project lifecycles by implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking. The successful candidate will collaborate with stakeholders and platform engineers to set up infrastructure, automate model deployment, monitor models, and scale training.
Responsibilities- Designing and automating ML workflows to improve efficiency and reduce costs
- Implementing CI/CD pipelines using tools like Airflow, Prefect, and Dagster
- Automating model deployment and monitoring models to ensure high-quality results
- Collaborating with stakeholders to understand key challenges and inefficiencies in machine learning project lifecycles
- Proficiency in Python and experience with scripting languages like Bash or PowerShell
- Knowledge of orchestration and scheduling tools, such as Airflow, Prefect, and Dagster
- Understanding of ML algorithms and distributed training, e.g., Spark, PyTorch, TensorFlow, Dask, and Ray
- Experience with cloud services, including Azure, AWS, and GCP
- Familiarity with containerization technologies like Docker and basic knowledge of container orchestration platforms like Kubernetes
As a member of our team, you can expect a competitive salary of $120,000 per year, plus additional benefits including private healthcare, a sport subscription, and a startup atmosphere. Our office features a flat structure, small teams, international projects, and a playroom. You will also have access to free coffee, gym, bike parking, and in-house trainings. We offer a no-dress-code policy and a kitchen.
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