Data Scientist (H/M/X) - Remote
Core
Design, develop, deploy, and operate Machine Learning models in production environments with a focus on automating the ML lifecycle.
Role type
Senior MLOps Engineer / Data Scientist
Builds
Production ML models, scalable data pipelines, and microservices APIs for model inference
Domain
Cloud computing, Machine Learning, MLOps, Data Engineering
Deliverable
production ML models
Required skills
Python (advanced), SQL, Machine Learning, MLOps, Docker, Kubernetes, CI/CD for ML, Cloud platforms (AWS/Azure/GCP), Apache Spark, Airflow, Model monitoring and drift detection
Preferred skills
TensorFlow, PyTorch, MLflow, Kubeflow, Metaflow, Stratio platform administration, Model governance and explainability
Technologies
Python, SQL, Scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow, Metaflow, Docker, Kubernetes, Git, AWS, Azure, GCP, Apache Spark, Airflow, Stratio
Responsibilities
Develop ML models in Python for business problems, deploy models using Docker and Kubernetes, design and implement data pipelines and ML workflows, monitor models in production and detect drift, execute retraining processes, integrate ML solutions in cloud environments, optimize production models, administer and configure Stratio data platform, create scalable data pipelines with distributed processing, develop APIs for model inference via microservices, apply DevOps practices in data and ML environments
Seniority
Senior, hands-on IC