The client is looking to hire a junior level Machine Learning Engineer to help support their innovative project.
Requirements
- Experience working with deployment and monitoring of ML models in a production cloud-based containerized environment
- Ability to write clean, concise, tested, maintainable code in Python
- Experience in Agile practices and promoting Agile development techniques such as TDD, BDD and CI/CD
- Experience deploying ML models in container environment
- Experience with public cloud including AWS, Azure, or GCP
- Experience building and delivering machine learning, AI, computer vision, or optimization products is a plus
Responsibilities
- prototype, design, and implement predictive models and algorithms
- lead the full life cycle including data cleansing, feature creation, and iterative model selection
- write maintainable and extensible tested code that adheres to standards
- produce specifications
- determine operation feasibility
- troubleshoot, debut, and upgrade existing systems
- Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products
Other
- Work within the constraints of time, budget, and resources capacities to align with Toyota’s global vision
- Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs
- Ability to manage multiple priorities within a set period of time with positive outcomes
- Solutions oriented with the ability to think outside the box of conventional solutions
- Exhibits integrity and high standards in work quality
