Advanced Analytics and Machine Learning Engineer
Core
Transform actuarial and data science prototypes into robust, scalable, auditable production systems for advanced analytics and machine learning models in a regulated insurance context.
Role type
Senior IC machine learning engineer (production)
Builds
Production-grade ML services (batch jobs and APIs), scalable automated scoring pipelines, and data pipelines leveraging Microsoft Fabric artefacts.
Domain
Insurance and financial services
Deliverable
production ML models
Required skills
Python, SQL, ML model deployment and operation, CI/CD for ML, model versioning, batch scoring pipeline orchestration, real-time inference, runtime optimization, containerization, data protection compliance
Preferred skills
PyTorch, Keras, Azure ML, AWS SageMaker, Databricks, MLflow, Airflow, Azure Data Factory, knowledge of financial products and insurance/retirement fund industry
Technologies
Python, SQL, scikit-learn, PyTorch, Keras, Azure ML, AWS SageMaker, Databricks, MLflow, Airflow, Azure Data Factory, Git, GitHub, GitLab, Azure DevOps, Microsoft Fabric
Responsibilities
Design, build, and deploy ML solutions transforming prototypes into production services; establish CI/CD for ML including scalable automated scoring pipelines; design and operate ML pipelines leveraging Microsoft Fabric artefacts; partner with Data Engineering and IT to ensure reliable data inputs; align on consistent standards and hybrid solutions.
Seniority
Senior, hands-on IC
