About the Role
Our client, a rapidly growing technology company, is seeking a talented Machine Learning Engineer to join their dynamic team. This role is crucial for developing and maintaining production-grade machine learning services that drive core business functions such as ranking, recommendation, and forecasting.
Responsibilities
- Architect, implement, and maintain production-grade, low-latency ML services for ranking, recommendation, and forecasting use cases.
- Collaborate with data scientists, product managers, and engineers to identify the best technical approaches to product and infrastructure challenges.
- Design and support experimentation frameworks to test hypotheses and measure improvements to models.
- Advise on data strategy, ensuring high-quality, well-structured datasets are available for current and future data science initiatives.
- Deliver machine learning models that meet agreed engineering standards, ensuring scalability, resilience, and long-term maintainability.
- Enhance and evolve an AWS-native MLOps platform, supporting high availability and low-latency inference.
- Monitor, maintain, and continuously improve deployed models in production environments.
- Contribute positively to team culture, demonstrating curiosity, ownership, and a bias toward learning and improvement.
Requirements
- Proven experience (3+ years suggested for mid-level) in machine learning engineering.
- Strong background in designing, implementing, and deploying ML models into production.
- Experience with AWS-native MLOps platforms and related services.
- Solid understanding of data strategy and data quality principles.
- Ability to collaborate effectively with cross-functional teams.