What you’ll be working on
Research, develop, and implement machine learning algorithms for use in software and hardware applications.
Your day-to-day
- Leads complex model development projects to introduce advanced machine learning techniques and algorithms, ensuring integration with production systems. Lead problem-solving efforts across projects.
- Architects and optimises data infrastructure to support scalable machine learning applications.
- Drives strategic decisions in project and product meetings, ensuring alignment of machine learning goals with business objectives.
- Spearheads initiatives, piloting and integrating new technologies into the business workflow.
- Drives innovation through advanced research projects, leading to patentable technology and publications.
- Mentor team members in machine learning and advanced troubleshooting techniques to ensure that best practices are followed.
- Executes end-to-end machine learning model development from ideation to deployment. Optimises model performance and scalability.
- Builds, deploys, monitors, and continuously optimises ML models and developing automated ML models’ training and inference pipelines.
- Develops training and cross-validation data sets for machine learning algorithms.
- Translates product management, engineering and business contraints and queries into tractable data science questions.
- Designs and maintains robust data pipelines for real-time data processing and analysis.
- Leads the troubleshooting of complex data challenges.
- Develops frameworks and tools to improve model performance and insights.
- Performs other related duties and projects as business needs require at direction of management.
You should apply if
- Bachelor’s degree in Computing Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or related field; or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved. Master’s degree preferred.
- Minimum seven (7) years of experience in Machine Learning.
Even better if you have
- Certification in Machine Learning libraries such Tensorflow, PyTorch, Scikit-learn, NumPy, and Pandas preferred.
Pay range: Competitive
Hybrid work schedule