What you’ll be working on

Research, develop, and implement machine learning algorithms for use in software and hardware applications.

Your day-to-day

1. Leads complex model development projects to introduce advanced machine learning techniques and algorithms, ensuring integration with production systems. Lead problem-solving efforts across projects.
2. Architects and optimises data infrastructure to support scalable machine learning applications.
3. Drives strategic decisions in project and product meetings, ensuring alignment of machine learning goals with business objectives.
4. Spearheads initiatives, piloting and integrating new technologies into the business workflow.
5. Drives innovation through advanced research projects, leading to patentable technology and publications.
6. Mentor team members in machine learning and advanced troubleshooting techniques to ensure that best practices are followed.
7. Executes end-to-end machine learning model development from ideation to deployment. Optimises model performance and scalability.
8. Builds, deploys, monitors, and continuously optimises ML models and developing automated ML models’ training and inference pipelines.
9. Develops training and cross-validation data sets for machine learning algorithms.
10. Translates product management, engineering and business constraints and queries into tractable data science questions.
11. Designs and maintains robust data pipelines for real-time data processing and analysis.
12. Leads the troubleshooting of complex data challenges.
13. Develops frameworks and tools to improve model performance and insights.
14. Performs other related duties and projects as business needs require at direction of management.

You should apply if

1. 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.
2. Minimum seven (7) years of experience in Machine Learning.

Even better if you have

1. Certification in Machine Learning libraries such as Tensorflow, PyTorch, Scikit-learn, NumPy, and Pandas preferred.

Pay range: Competitive

Hybrid work schedule

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