Machine Learning Engineer
Core
Design, build, and deploy advanced analytical solutions and scalable ML systems for a financial services client.
Role type
Machine Learning Engineer
Builds
Production ML models and scalable ML systems
Domain
Financial services
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, NumPy, TensorFlow/PyTorch), model productionisation and deployment, MLOps (CI/CD, versioning, monitoring), cloud platforms (AWS, Azure, GCP), containerisation (Docker, Kubernetes), data pipelines (SQL, Spark), machine learning algorithms, statistical modelling
Preferred skills
Experience collaborating across data science and engineering teams
Technologies
Python, pandas, scikit-learn, NumPy, TensorFlow, PyTorch, AWS, Azure, GCP, Docker, Kubernetes, SQL, Spark
Responsibilities
Design advanced analytical solutions, build scalable ML systems, deploy models in real-world environments, implement MLOps practices, build data pipelines
Seniority
Mid-level, hands-on IC