Champion best practices for modelling, experimentation, and deployment while influencing cross-functional teams. Bachelor’s or.
Responsibilities
Design and implement advanced optimisation algorithms (linear programming, mixed-integer programming, constraint optimisation, heuristics) to solve large-scale decision-making problems such as resource allocation and supply chain planning. Develop mathematical and statistical models leveraging traditional machine learning techniques (classification, regression, clustering) and deep learning for predictive and prescriptive analytics. Collaborate with engineering, product, and research teams to integrate optimisation and ML solutions into scalable production systems. Analyse large datasets to identify patterns, constraints, and insights, translating them into optimisation objectives and ML features. Build and deploy end-to-end pipelines for machine learning and optimisation workflows using modern frameworks and cloud platforms. Ensure solutions meet organisational standards for performance, scalability, and reliability. Explore hybrid approaches combining optimisation with AI/ML techniques to drive innovation.
Required Qualifications
Master's degree in Operations Research, Applied Mathematics, Computer Science, Data Science, or related quantitative field. 12+ years of experience delivering AI/ML and optimisation solutions, including modelling, algorithm design, and deployment. Strong expertise in optimisation techniques: linear programming, integer programming, constraint satisfaction, stochastic optimisation. Proficiency in optimisation libraries and solvers (e.g., Gurobi) and programming languages such as Python or R. Hands-on experience with traditional ML frameworks (scikit-learn, TensorFlow, PyTorch) and statistical modelling. Familiarity with data management systems (SQL) and big data platforms (Spark, Databricks). Experience with cloud-based MLOps workflows (Azure ML Ops, Azure AI Studio). Excellent collaboration and communication skills to influence and work effectively with cross geo-teams.Strong problem-solving abilities and strategic thinking to drive innovation. Experience in AI product integration and deployment at scale.Familiarity with time series forecasting and advanced statistical modelling. Knowledge of supply chain models and demand forecasting is a plus.Practical experience with large-scale codebases and version control systems (e.g., Git). This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page