Machine Learning/DevOps Engineer II

April 24

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Description

• Create reusable infrastructure components using infrastructure-as-code technologies to allow teams to manage their own infrastructure needs. • Design Data/Machine Learning pipelines to transform Data/Machine Learning features. • Mature the CI/CD pipeline to enable teams to scale in a self-service way to help reduce deployment cost and time. • Collaborate with product engineering teams to design scalable infrastructure and deployment patterns for customer facing solutions. • Act as an expert in AWS technologies by providing guidance on appropriate AWS solutions to address business needs. • Write Python code to manipulate data and provide APIs for internal services.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, a closely related field or foreign equivalent plus 2 years’ experience as a Data Analyst/Engineer, DevOps Engineer, or closely related position. • Design data pipelines to transfer to transform/deploy machine learning algorithms. • Experience with Python and R.

Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Very generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley.