[Remote] Manager Machine Learning Engineering

Remote Full-time
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 Overview • HCA 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 Apply tot his job
Apply Now

Similar Opportunities

Patient Customer Advisor

Remote

Coordinator Life Safety

Remote

Sr Manager Clinical Compliance Reg Accreditation

Remote

Oracle HCM Technical Developer (OIC / VBCS / Financials & HCM)-(No H1b and W2 only)

Remote

Senior Design Engineer(Hybrid)

Remote

Pharmacy Technician - Work From Home

Remote

Staff Specialist, Post Market Surveillance

Remote

FLEX Senior Product Manager, Search & Discovery

Remote

Application Analyst II - Epic Willow Inpatient

Remote

Freelance YouTube Ops Coordinator (Channel Manager)

Remote

Experienced Associate Sales Analytics Consultant - Data-Driven Insights for Business Growth at Southwest Airlines

Remote

Data Entry Operator (Part-Time) MUST RESIDE IN STATE OF OHIO – Amazon Store

Remote

Experienced Customer Service Representative – Hybrid Work Model with Flexible Scheduling and Professional Growth Opportunities at arenaflex

Remote

Experienced Senior Data Scientist – Advanced Data Analysis, Predictive Analytics, and Machine Learning Expertise for Strategic Business Insights and Decision Making at blithequark

Remote

Sr. Operations Manager – NPI, Field Readiness

Remote

Experienced Remote Chat Support Agent – Public Relations and Customer Service Expert for arenaflex

Remote

Experienced Senior Information Examiner for Streaming Services – Data Analysis and Subscriber Management Expert

Remote

REMOTE Customer Service Rep | No Experience — Start Today (ASAP)

Remote

Experienced Entry-Level Virtual Customer Service Representative – Delivering Exceptional Support and Driving Customer Satisfaction in a Dynamic Remote Environment

Remote

Experienced Customer Support Representative - Client Engagement, Error Resolution, and Remote Collaboration with blithequark

Remote
← Back to Home