Senior Machine Learning / MLOps Engineer (Remote Opportunity)Hispanic Alliance for Career Enhancement • United States
Senior Machine Learning / MLOps Engineer (Remote Opportunity)
Hispanic Alliance for Career Enhancement
- United States
- United States
À propos
The Role The Machine Learning Engineer partners with data science, data engineering, and platform teams to design, build, and operate scalable AI services. Responsibilities include translating machine learning models into reliable production‑grade systems through strong infrastructure design, MLOps automation, and performance optimization, and contributing to cross‑functional initiatives that advance the organization’s AI platform capabilities.
Responsibilities
Design and implement end‑to‑end ML systems, including data ingestion, feature processing, model training, and model serving
Architect and deploy scalable AI services supporting real‑time and batch inference use cases
Build and maintain ML infrastructure across cloud environments (e.g., EC2, EKS, SageMaker, specialized inference hardware)
Develop and evolve MLOps platforms, including training pipelines, deployment workflows, feature stores, and model observability
Implement CI/CD and infrastructure‑as‑code patterns to automate model lifecycle management
Optimize model training and inference performance for cost, latency, and hardware efficiency
Monitor production ML systems for accuracy, reliability, and operational health
Partner cross‑functionally with data engineering, architecture, governance, and security teams to ensure compliant and scalable solutions
Mentor team members on ML engineering, system design, and operational best practices
Contribute to special initiatives that advance AI platform maturity and engineering standards
Qualifications
Master’s degree in Computer Science, Software Engineering, Machine Learning, or a related field
5+ years of experience building and operating machine learning solutions in cloud environments, with a focus on AI services and MLOps foundations
Demonstrated hands‑on experience delivering end‑to‑end ML systems, spanning model development, deployment, and production infrastructure
Proficiency with modern ML engineering tooling, including cloud platforms, data pipelines, and CI/CD workflows
Preferred Experience
Experience designing and scaling real‑time and batch inference systems in production
Hands‑on experience with deep learning frameworks and model optimization for performance and cost
Experience building or contributing to shared MLOps platforms, feature stores, or ML observability solutions
Familiarity with cloud security, governance, and compliance standards
Benefits
Annual allotment of free hotel stays at Hyatt hotels globally
Flexible work schedule
Work‑life benefits, including wellbeing initiatives such as a complimentary Headspace subscription and a discount at the on‑site fitness center
A global family assistance policy with paid time off following the birth or adoption of a child and financial assistance for adoption
Paid Time Off, Medical, Dental, Vision, 401K with company match
Compensation The salary range for this position is $133,200 – $173,000. The final pay rate will depend on experience, skill level, and other qualifications for the role and will meet local minimum wage requirements where the work is performed.
Agency Recruitment We value our relationships with recruitment partners and require that agencies contact us first before submitting any candidates. Hyatt will not be responsible for any fees and obligations associated with unsolicited submissions unless a formal agreement is in place.
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Compétences linguistiques
- English
Avis aux utilisateurs
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