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.
About the role
- Senior ML Engineer developing ML-driven features and scalable systems for Chess.com. Driving innovation in Generative AI and providing technical mentorship in a fully remote environment.
Responsibilities
- Own ML-driven product features , identifying opportunities through to modeling, deployment, experimentation, and impact.
- Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance.
- Design, build, and ship scalable ML systems , including data pipelines, training workflows, and production model serving infrastructure.
- Prototype rapidly and iterate regularly , developing repeatable evaluation frameworks, running experiments, and improving models based on results.
- Shape our ML architecture and MLOps practices , establishing standards for experimentation, deployment, monitoring, and retraining as we scale.
- Drive innovation in Generative AI , exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.
- Provide technical leadership and mentorship , mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.
Requirements
- 5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
- 1+ year of AI engineering experience.
- Strong technical skills and judgment around coding, testing, and building for scale.
- Strong practical ML knowledge, solid knowledge of ML theory, and a working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.
- High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.
Benefits
- 100% remote (work from anywhere!)
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