Senior Software Engineer: Data Science & Optimisation
Senior Software Engineer: Data Science & Optimisation
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Job Description
Description
About the role:
For our Customer Experience team we seek HandsOn Senior Data Scientist who can work on designing & implementing high quality scalable optimizationbased applications and platforms while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture design and implementation of maintainable highquality and highperforming Machine Learning systems and Optimization applications is essential for success in this role.
Provide handson technical expertise to design engineer deploy and deliver highly scalable optimizationbased applications. Drive improvements in technical architecture standards and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery.
What you will d0
As an Optimization and AI/ML Expert you will be responsible for developing and implementing advanced machine learning models optimization algorithms and analytical tools. You will leverage your expertise to solve complex business problems by using datadriven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML optimization and applied mathematics with a passion for designing efficient solutions to tackle largescale realworld challenges.
Who you are and what you bring
- Optimization & AI/ML Model Development: Design develop and implement AI/ML models and optimization algorithms to address business challenges and improve decisionmaking.
- Data Analysis & Feature Engineering: Work with large datasets to preprocess analyze and engineer features for model development. Ensure data quality and integrity.
- Performance Improvement: Apply optimization techniques (e.g. linear programming constraint programming heuristic algorithms) to optimize business operations resource allocation and other key processes.
- Collaboration & ProblemSolving: Collaborate with crossfunctional teams including data engineers business analysts and domain experts to identify problems and translate them into solvable AI/ML models.
- Research & Innovation: Stay updated on the latest trends in optimization machine learning and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance.
- Model Evaluation & Tuning: Conduct model evaluation using appropriate metrics tune hyperparameters and ensure that models perform optimally in production environments.
- Documentation & Reporting: Document the methodology processes and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations.
- Deployment & Monitoring: Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness.
- Experience: 510 years of experience in AI/ML optimization and data science with a proven track record of applying these skills to realworld business challenges.
- Strong Analytical Skills: Expertise in quantitative analysis applied mathematics and optimization algorithms (e.g. integer programming dynamic programming convex optimization).
- Proficiency in Programming: Strong programming skills in Python R and/or MATLAB. Experience with libraries like TensorFlow PyTorch Scikitlearn or similar.
- Machine Learning Expertise: Deep understanding of supervised and unsupervised learning reinforcement learning and model validation techniques. Familiarity with deep learning and neural networks is a plus.
- Optimization Knowledge: Solid knowledge of optimization techniques for solving complex resource allocation scheduling or routing problems.
- Data Handling & Analysis: Experience with big data technologies (Hadoop Spark) data preprocessing and feature engineering techniques.
- ProblemSolving Mindset: Ability to translate business problems into mathematical models and find creative solutions.
- Communication Skills: Strong written and verbal communication skills to effectively convey technical concepts to nontechnical stakeholders.
- Advanced Degree: A Masters or Ph.D. in Computer Science Mathematics Engineering Operations Research or a related field is highly desirable.
Preferred Qualifications
- Experience in the deployment and scaling of AI/ML models in production environments.
- Knowledge of cloud platforms such as AWS Google Cloud or Azure.
- Familiarity with optimization software/tools like Gurobi CPLEX or other commercial solvers.
- Experience with reinforcement learning and optimization in dynamic or uncertain environments.
Required Experience:
Senior IC
Employment Type
Full-Time
