Machine Learning Engineer

We are passionate about building scalable, reliable machine learning systems that create real customer impact. Our team blends technical excellence with enjoyment—we learn continuously, solve meaningful problems, and celebrate the solutions we deliver. With several production ML systems already live and more coming, this is a place to grow, contribute, and thrive. Job Purpose Apply deep ML engineering expertise to design and operationalise scalable, production-grade machine learning systems accurately, efficiently, and effectively. This role requires strong understanding of machine learning algorithms, data structures, and software development principles. Key Responsibilities: • Design and develop scalable, reliable, and efficient machine learning models using various techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. • Collaborate with cross-functional teams to integrate ML models into larger systems, ensuring seamless integration and optimal performance. • Develop and maintain high-quality, well-documented code that adheres to industry standards and best practices. • Troubleshoot and debug complex ML-related issues, leveraging expertise in data preprocessing, feature engineering, and model evaluation. • Stay up-to-date with the latest advancements in machine learning research and apply this knowledge to improve existing systems and develop new ones. • Work closely with data scientists and other stakeholders to identify business needs and develop solutions that meet those needs. Benefits: • Opportunity to work on cutting-edge ML projects that drive real customer impact. • Collaborative, dynamic environment where you can grow professionally and personally. • Competitive compensation package, including stock options and bonuses. • Comprehensive benefits program, including medical, dental, vision, and 401(k) matching. • Flexible working hours and remote work options to support your work-life balance.