Job Description
About the Team:
The data platform’s mandate is to build analytics capabilities and tools needed for the organization. We embrace data mesh approach in terms of democratizing both data and machine learning capabilities which are put together by data platform domain.
Each tech domain has responsibility to produce the data and business units to consume the data product for their analysis use cases, while the data team focuses on building capabilities, tools, standards, architecture needed for the platform.
Why Join Us:
- Build tools and frameworks to streamline the deployment and monitoring of machine learning models in a production environment.
- Work closely with software developers to integrate machine learning capabilities into existing and new products.
- Conduct thorough testing, validation, and debugging of machine learning models to ensure high performance and accuracy.
- Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions.
- Collaborate with data scientists, data engineers, and other stakeholders to drive the development of data-driven solutions.
- Coach data scientists and more junior applied scientist on best practices of solution design
Qualifications
How To Excel In This Role:
- A minimum of 5 years experience in ML Engineering and Data Science with a focus on driving business impact
- Experience working with AWS cloud solutions (SageMaker, lambda, step function, s3, cloud formation, jenkins and other AI/ML services)
- Excellent programming skills using SQL, Python
What Sets You apart:
- Having built end to end AI applications
- Retail or E-Commerce Experience
- Good understanding of Web Analytics
- Experience with data processing tools (Spark, Glue)
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