Staff MLOps Engineer role at Alldus involves building solutions across ML infra and MLOps to drive velocity in Machine Learning. The ideal candidate will have experience building solutions that drive ML product build velocity for the last 5+ years. The role requires expertise in areas like real-time inferencing, GPU optimization, Feature store builds, and overall ML lifecycle.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Staff MLOps Engineer
Remote
My client is a HealthTech startup helping individuals get healthier!
Sitting at the intersection of machine learning, infrastructure, and production systems. You'll get to build solutions across ML infra and MLOps that help drive velocity in Machine Learning to ship ML products quickly and safely.
You'll have autonomy and ownership to create, innovate and build solutions for the future of ML at the company creating huge impact.
You'll also get to build feature stores, test new MLOps tools, Optimize GPUs, inference and more.
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What else do you get?
- Base Salary: 220-270k
- Equity
- Fully Remote
What do you need to be successful?
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience building solutions that drive ML product build velocity for the last 5+ years like ML Platform, ML Infra and MLOps.
- Experienced with areas like real-time inferencing, GPU optimization, Feature store builds and over all ML lifecycle.
- Worked with Cloud tools (GCP preferred or open to learning)
Interested in learning more? Apply or reach out to me at anthonyh@alldus.com
*Please note due to limited resources we are currently only shortlisting those who can work without visa support like Green Crad or Citizenship.
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