Amazon Machine Learning Engineer AWS Product ANalytics & DAta Science PANDAS 

United States, Washington, Seattle 

340909303

You will work cross-functionally, typically collaborating with several teams of applied scientists, data engineer, product managers, and others in order to influence the business and technical strategy for a complex, high-performance organization. You will also drive impactful, long-term choices on system architecture, spearhead a high-quality engineering culture, leading the MLOps best practices across the org.Key job responsibilities
- Deploy machine learning platform and infrastructure into production environments, integrating them seamlessly with existing systems and applications
- Work with our data engineers to build and manage our data pipelines to ensure scientists have timely and high quality data in production
- Continuously monitor and evaluate model performance, employing appropriate metrics to validate and refine models.
- Drive the MLOps best practices and roadmap to explore and implement new methodologies, tools, and techniques to drive innovation and improve the effectiveness of ML solutions
A day in the life
As a machine learning engineer, you will work closely with your customers and stakeholders to understand their business requirements, translating them into technical solutions. You will work with cross-functional team including applied scientists, product managers, and data engineers. You will build robust engineering pipelines and ML operation platform to support ML models. You will understand how ML model works and build ML models when needed. You will build model monitoring mechanism to understand model performance ensure our model meets SLA. You will spend time in architecture design and review meetings to hold high standard of our infrastructure.Seattle, WA, USA

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 3+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience