ML Engineer

at  Beeks Group

SKILLS & EXPERIENCES REQUIRED

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in machine learning or a related field.
• Programming skills
• Proficiency in Python, familiarity with C++, Rust beneficial.
• ML tooling experience – pandas, NumPy, PyTorch, Jupyter Notebooks
• Agile software development
• Production deployment expertise
• Containerisation
• Monitoring and performance optimisation
• CI/CD pipelines
• Data Processing expertise
• Working with modern databases – SQL, vector, time-series

ABOUT THE ROLE

The ML Engineer will be part of a new R&D team at Beeks with a focus on applying ML techniques to our real time analytics product.

RESPONSIBILITIES

• Working as part of a new R&D team alongside the core product development teams, this role will involve taking new ideas around solving problems with ML through prototyping, evaluation, performance testing and eventual productionisation.
• Working alongside in-house Data Science resource to develop and test models, algorithms with live and historical data, then establish best practices to scale up the solutions for target customer scenarios.
• Perform statistical analysis and fine tune models and systems.
• Work with core product to ensure data is generated with minimal preprocessing requirements, providing guidance on the data structures.
• Develop and select effective features to improve model performance.
• Maintain clear and comprehensive documentation of models, code, and processes.
• Build out internal best practices for ML engineering and keep peers informed.
• Keep up with the very rapidly evolving industry standards – ensuring the most appropriate methods and tools are used where possible.