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)
Your benefits on this position
Cafeteria MyBenefit
Comfortable workstation
Integration activities & trips
Language lessons
Learning opportunities
Lunch&Learn
Private medical care
Sport activities
