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MLOps Engineer
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They are looking for an MLOps Engineer to join the team and work within a group that deals with Flow Optimization specific to different Amazon warehouses and looks at labor metrics. Good candidates for this position will have experience working with Python and understand working with AWS, and any deployment work or at least understanding of CI/CD pipelines is a big plus.
As an MLOps Engineer within our BADS team, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, natural language processing, computer vision), technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Required Skills & Experience AWS development experience/build within AWS products. Extensive experience coding/scripting in Python Bachelors in programming or similar (statistics, mathematical degrees on top of that would be a plus) Minimum 5 years of ML experience Familiarity with Tensorflow and the statistics scripting language R. Responsibilities Own the development and operationalization of solutions deployed in production. Work across multiple teams to integrate our solutions with products owned by our partners. Design model experimentation processes and frameworks in synergy with our scientists. Help the team grow and cultivate best practices in software development, MLOps, and experimentation. Model training, data pre-processing, Ongoing support of model and lifestyle. This is a W-2 contract, so all benefits will be through Motion Recruitment: Medical, dental, and vision coverage Paid Time Off (PTO) and Holidays 401(k) Matching Applicants must be currently authorized to work in the US on a full-time basis now and in the future.