Senior Machine Learning Engineer

About The Role

This role requires close collaboration with Data Engineers and Data Scientists to build an efficient, robust machine learning infrastructure to support risk analysis and modeling requirements. The individual should be versatile, have experience in data science and software engineering, and a solid understanding of infrastructure to tackle complex problems at large scales. The individual will apply their knowledge of machine learning techniques to deploy real-time, production-level models, significantly contributing to our operations. This role demands self-drive, strong ownership, and excellent communication skills.

What You Will Do

• Manage data science infrastructure to streamline model development and deployment
• Define and build scalable data pipelines that enables data scientists to build better models
• Implement cutting edge big data frameworks to support batch and real-time jobs
• Identify possible bottlenecks in the system and perform optimization
• Build dashboards, models and deliver insights to support business analytics
• Monitor and provide support to our infrastructure and production models

What You Will Need

• At least 6-7+ years of hands-on experience at large scales in data science / software engineering
• Ability to write clean and structured SQL, Python and Shell programs
• Good experience with infrastructure, including Cloud Computing, Linux OS, Networks, Docker, RDBMS and NoSQL Databases
• Good understanding of machine learning techniques and algorithms
• Good experience in serving real-time, production-level machine learning models
• Self-driven with a strong sense of ownership, ability to work independently to solve problems and develop solutions