[Remote] Manager Machine Learning Engineering – Amazon Store

Remote, USA Full-time
Other Jobs To Apply No other job posts for this day. Note: The job is a remote job and is open to candidates in USA. HCA Healthcare is a leading healthcare provider, and they are seeking a Manager of Machine Learning Engineering. The role involves leading the development and implementation of machine learning operations while building and managing a high-performing team of ML engineers to enhance ML delivery and standardization across the organization.Responsibilities Build and lead high-performing team of ML Engineers, including hiring, coaching, and providing career development while fostering a culture of technical excellence and knowledge sharing. Actively contribute to MLOps assigned pod development through hands-on coding and technical implementation, leading by example through direct contribution to critical platform components and infrastructure when possible while ensuring pod priorities and technical challenges are addressed. Partner with Pod Tech Leads to ensure embedded engineers are delivering according to best practices and are following pod and platform standards. Collaborate with AI Platform leadership to inform technical standards and architectural patterns for AI platform, engineering best practices and standardization across pods. Drive platform adoption, engineering best practices and standardization across pods. Collaborate with other engineering leaders to implement and maintain technical standards while aligning teams around technical decisions. Conduct code reviews and participate in technical discussions to maintain high engineering standards and quality of platform usage and MLOps best practices across pods. Champion ML platform capabilities across product teams while identifying and addressing barriers to platform adoption, ensuring consistent implementation of platform patterns. Balance hands-on development with technical leadership and team management responsibilities to ensure successful and consistent platform usage. Collect and synthesize feedback from engineers and pod tech leads to inform platform priorities and roadmap based on pod needs. Create opportunities for technical growth and skills development for team members. Lead technical discussion and architecture review to promote platform-aligned solutions. Skills Bachelor's degree - Required 1+ year(s) of experience in a leadership role - Required 7+ years of experience in software engineering with a focus on ML Engineering and AI - Required Current hands-on coding abilities with recent experience in ML/AI systems - Required Strong technical background in ML engineering with demonstrated coding expertise - Required Deep Python development expertise with a focus on ML systems - Required Strong understanding of Machine Learning workflows and operational requirements through direct implementation - Required Hands on experience implementing and scaling model CI/CD and Continuous Training pipelines - Required Hands on experience with modern Python development practices including typing, linting, test frameworks, and package management - Required Deep understanding of containerization and deployment of ML/AI models and systems - Required Strong background agile development within product teams - Required Understanding of ML Development Lifecycle management and MLOps best practices - Required Experience managing team of embedded engineers distributed across product teams - Required Understanding of ML Monitoring and observability - Required Master's degree - Preferred Engineering or platform engineering - Preferred Experience with LLMs and Infrastructure - Preferred Experience integrating with feature stores - Preferred Deep understanding of ML/AI system unit testing, integration testing, and load testing - Preferred Experience with Distributed model training - Preferred Hands on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - Preferred Hands on experience and knowledge of ML/AI metadata tools - Preferred Deep hands-on experience with Terraform or other IaC tools - Preferred Company OverviewHCA Healthcare provides medical education and healthcare services in locally managed facilities. It is a sub-organization of North Florida Endoscopy Center. It was founded in 1968, and is headquartered in Nashville, Tennessee, USA, with a workforce of 10001+ employees. Its website is https://hcahealthcare.com/.
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