MLOps Engineer
We are looking for an MLOps Engineer to join a multidisciplinary team within a leading company in the petrol and energy sector. In this role, you'll be responsible for bridging the gap between data science and operations, designing, deploying, and maintaining scalable machine learning pipelines that support key business initiatives. You’ll work closely with data scientists, engineers, and domain experts to ensure the seamless integration of AI models into production, driving innovation in a highly dynamic and impactful industry.
Responsibilities:
- Model monitoring, model drifting, data drifting
- Automate model retraining and tunning
- Comfortable Experiment tracking technologies (eg. MLFlow)
- Realization in AWS + Airflow
Requirements:
- Experience with Batch Transform for large-scale batch inference
- Deploying, training, and managing models in AWS SageMaker, including handling model artifacts and versioning
- Knowledge of Docker and SageMaker's ability to run custom Docker containers for executing models
- Knowledge of tracking and model management as MLOps best practices for integrating batch predictions into continuous delivery and integration workflows
- Fluent English, written and spoken
If this sounds like you, share your CV with us through the e-mail address below, and let’s talk!
talent.europe@99x.io