[T03] Data Scientist / Machine Learning Engineer
Core
Design, develop, train, and deploy machine learning models to solve business problems using large datasets.
Role type
Machine Learning Engineer
Builds
Production-ready AI solutions integrated with existing applications
Domain
Data Science / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Data Wrangling, Data Visualization, Database Management Systems, TensorFlow, PyTorch, R, SAS, SQlik Sense, Model Deployment, Hyperparameter Tuning, Model Optimization
Preferred skills
Agile/Scrum methodologies, Power BI, Microsoft Access, SharePoint, Kubernetes, Docker, Podman, Microservices Architecture, DevSecOps
Technologies
TensorFlow, PyTorch, R, SAS, SQlik Sense, Power BI, Microsoft Access, SharePoint, Kubernetes, Docker, Podman
Responsibilities
Perform exploratory data analysis to uncover trends and actionable insights; Translate business problems into analytical and machine learning solutions; Design, develop, train, and optimise machine learning models; Evaluate model performance using validation techniques and hyperparameter tuning; Deploy models into production and integrate via APIs; Collaborate with engineering and DevOps teams to build scalable solutions; Monitor deployed models and improve accuracy; Present findings to technical and non-technical stakeholders.
Seniority
Mid-level, hands-on IC