People In AI · 6 hours ago
Senior Machine Learning Engineer (Platform)
United States
Full-time
Remote
Senior Level
$170K/yr - $190K/yrPeople In AI is an established B2B SaaS company using AI to drive dynamic pricing in a complex, high-volume industry. They are seeking a Senior Machine Learning Engineer (Platform) to build core infrastructure for training, deployment, and monitoring of ML models, focusing on enabling scale, reliability, and performance for ML workflows.
Staffing & Recruiting
Hiring Manager
Jacob Bisson
Responsibilities
Build and maintain scalable ML infrastructure on AWS
Develop robust training and deployment pipelines for thousands of customer-specific models
Operate Kubernetes-based workloads for ML training and inference
Own MLOps tooling for CI/CD, model monitoring, and rollback strategies
Collaborate with ML and data teams to improve platform usability and reliability
Drive automation and observability across the ML lifecycle
Qualification
Required
Experience building ML infrastructure in production
Deep experience with AWS, especially SageMaker and ML orchestration
Strong Kubernetes skills for training and serving ML models
Proven ownership of model deployment and pipeline infrastructure
Familiarity with monitoring stacks and CI/CD workflows
Mindset focused on scale, reusability, and platform thinking
Not a modeling background – this is infra, not data science
Cloud: AWS (SageMaker, Lambda, ECR, EMR)
Infrastructure: Terraform, GitHub Actions
Orchestration: Kubernetes (EKS), Docker
ML Tools: MLflow, Feast, SageMaker Feature Store
Monitoring: Prometheus, CloudWatch, Grafana, Evidently
Language: Python (must be strong)
Benefits
Equity
Bonus
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