Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
About the role
- MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post-acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
Responsibilities
- Build and maintain workflows and infrastructure supporting the end-to-end ML lifecycle
- Partner with researchers and ML practitioners to productionize models and enable faster iteration
- Design, build, and improve data and training pipelines
- Improve data processing, annotation workflows, and ML system efficiency
- Deploy and maintain background systems supporting model training and inference
- Build tooling and processes for monitoring model performance, system reliability, and operational health
- Improve scalability, observability, and reproducibility of ML systems
- Optimize ML infrastructure for speed, reliability, and cost-efficiency
- Identify bottlenecks and automate or streamline manual ML workflow processes
- Establish best practices around ML operations, deployment, and system performance
Requirements
- 3+ years of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments
- Experience supporting ML systems end to end, from model handoff through deployment and monitoring
- Strong experience building and owning data pipelines, training pipelines, or other production workflows that support ML
- Experience working closely with researchers, data scientists, or ML practitioners to productionize models
- Strong software engineering fundamentals and experience building production systems
- Experience with monitoring, debugging, and improving production ML or data systems
- Track record of improving reliability, scalability, speed, and/or cost efficiency in ML systems
- Comfort operating in a fast-moving, startup-style environment with a high degree of ownership
Benefits
- Competitive salary and equity in a high-growth startup
- Flexible PTO, take what you need
- Medical, dental, and vision coverage
- Company off-sites
- High-achieving team, including ex-Amazon engineers and alumni of Bain, BCG, Goldman Sachs, and more
Job title
Job type
Experience level
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Not specified
Degree requirement
No Education Requirement
Location requirements
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