People In AI ยท 2 days ago
Machine Learning Platform Engineer
United States
Full-time
Remote
Senior Level
$190K/yr - $190K/yrPeople In AI is a high-growth, cloud-native SaaS company transforming the travel and hospitality space through advanced machine learning. They are seeking a senior-level ML Platform Engineer to own and evolve the infrastructure that supports large-scale, production-grade ML workflows.
Staffing & Recruiting
Hiring Manager
Cassie Wandell
Responsibilities
Design, build, and operate ML infrastructure supporting the full lifecycle: training, deployment, inference, monitoring, and retraining
Architect systems that scale to thousands of models running in parallel
Own ML pipelines end to end, including CI/CD, versioning, and rollback strategies
Optimize batch and real-time inference workloads for cost and reliability
Implement observability frameworks for ML systems, tracking model health, drift, and performance
Collaborate with data scientists to streamline productionization of models
Evaluate and integrate AWS-native and open-source MLOps tools
Qualification
Required
ML platform engineering, MLOps, or related infrastructure-heavy ML roles
Strong AWS expertise, particularly with SageMaker, Lambda, ECR, and S3
Production experience with Kubernetes (EKS) for training and inference
Proven ownership of end-to-end ML pipelines in production
Deep understanding of ML system monitoring and reliability
Strong Python skills and solid software engineering fundamentals
Collaborative mindset with experience partnering with data science teams
Benefits
Bonus
Equity
Company
People In AI
At People in AI, we specialize in staffing solutions for the rapidly expanding AI sector.
Founded in 2023
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase