MLOps Engineer - AI & Data Team Job at Healthcare Startups, New York, NY

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  • Healthcare Startups
  • New York, NY

Job Description

🚀 MLOps & Cloud Ops Engineer – AI & Data Team | NYC | Hybrid | High Impact Work

We’re working with a mission-driven investment firm at the forefront of healthcare innovation. Their AI & Data Team is seeking a MLOps & Cloud Ops Engineer to help scale impactful machine learning systems and infrastructure that accelerate life sciences and healthcare breakthroughs.

📍 Location: New York, NY (Hybrid)

💼 Type: Full-time

💡 Industry: Investment / Healthcare Innovation / AI & Data

$200-250k salary + competitive performance bonus + benefits

🌟 About the Team

This cutting-edge AI & Data team operates at the crossroads of strategy, data, and technology. They design and deploy machine learning solutions, build proprietary tools to support smarter investment decisions, and partner with startups, academics, and innovators across the healthcare space.

You’ll be part of a small, high-impact group shaping the next generation of AI-powered insights and operational excellence.

🔧 What You’ll Do

  • Architect and maintain cloud infrastructure across AWS, Azure, and Databricks
  • Build secure, scalable systems for AI/ML workloads
  • Design and manage CI/CD pipelines for ML workflows
  • Implement model tracking, versioning, and reproducibility standards
  • Containerize ML models using Docker and Kubernetes
  • Monitor production systems for drift, anomalies, and performance
  • Enforce Infrastructure-as-Code and DevSecOps best practices
  • Partner closely with data scientists, engineers, and dev teams
  • Assist with compliance and data governance for AI systems

✅ What You Bring

  • 5+ years in cloud infrastructure or MLOps roles
  • Experience in Financial Services or Healthcare industries
  • Strong hands-on experience with AWS and/or Azure
  • Production experience with Databricks
  • Proficiency in Terraform, Pulumi, or AWS CDK
  • Strong knowledge of Docker, Kubernetes, and ML observability tools
  • Skilled in Python, Bash, and automation scripting
  • Experience building CI/CD pipelines (GitHub Actions, Jenkins, Argo Workflows)
  • Familiarity with MLflow, DVC, Prometheus, Grafana, or Datadog

🔗 Ready to Drive Real-World Impact with AI?

This is your opportunity to help shape the future of healthcare innovation with state-of-the-art cloud infrastructure and machine learning systems.

Job Tags

Full time,

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