MLOps Engineer


Białystok | Kraków | Wrocław |



Software Development |

At the moment our recruitment process for MLOps Engineer is held entirely online.

We are looking for engineers who are passionate to stay at the forefront of AI technology and cloud engineering, leveraging cloud services, data science platforms, and automation pipelines for the operationalization of AI-driven solutions at an enterprise scale.


Responsibilities


  • Productionize AI-enabled applications using various software engineering tools and technologies
  • Design and develop cloud infrastructure required for developing and deploying AI-driven applications
  • Setup and configure enterprise data science platforms
  • Create automation pipelines for data ingestion and processing, machine learning flows, and application deployments
  • Create and integrate data source connectors for feeding ML pipelines with data
  • Provide consulting and assistance for data science teams to ensure effective operationalization of AI-driven solutions

Requirements


  • BS or MS in Computer Science or a related technical field involving Artificial Intelligence & Machine Learning
  • Experience using cloud services and infrastructure (AWS, Azure)
  • Experience with enterprise data science platforms (Dataiku, DataRobot, Azure ML, AWS Sagemaker)
  • Experience with Docker and Kubernetes
  • Programming skills in Python (or other scripting languages)
  • Knowledge of data science tools and technologies
  • Knowledge of ML automation tools (MLflow, Metaflow)
  • Experience with Linux environments
  • Strong problem-solving skills
  • Very good communication skills
  • Very good command of English

Nice to have


  • Experience in using Python for data analysis and modeling
  • Experience with machine learning frameworks and libraries (e.g. PyTorch, TensorFlow, scikit-learn)


Grape Up is an ambitious and versatile company that encourages me to develop my interests in the areas of software development and machine learning, both from a practical and scientific point of view.




Salary


16 300 PLN - 28 750 PLN


19 100 - 34 000 PLN


apply now

Your benefits on this position



Cafeteria MyBenefit



Comfortable workstation



Integration activities & trips



Language lessons



Learning opportunities



Lunch&Learn



Private medical care



Sport activities



Position is held by




Feel that you fit right in?


apply now


MLOps Engineer


16 300 PLN - 28 750 PLN


19 100 - 34 000 PLN



apply now