Rise Jobs & Careers icon Staff Mlops Engineer Jobs

Browse 16 exciting jobs hiring in Staff Mlops Engineer now. Check out companies hiring such as Credit Genie, Homebound, USAA in St. Petersburg, Brownsville, Port St. Lucie.

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Posted 8 days ago

Lead the design and implementation of highly available backend services and data pipelines to deploy and scale ML-driven features at Credit Genie, a Khosla Ventures-backed fintech startup.

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Posted 8 days ago

Credit Genie is hiring a Staff Software Engineer to architect and deliver highly available backend systems and APIs that power AI-driven financial products.

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Posted 8 days ago
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Vision Insurance
Family Medical Leave
Paid Holidays

Lead the design and production deployment of LLM-powered systems at Homebound to accelerate AI-driven improvements across the homebuilding platform.

MobilityWorks Regular Full-Time PHILADELPHIA, Pennsylvania
Sponsored
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Stronger Consulting Hybrid No location specified
Posted 8 days ago

Andela is seeking a Staff Full Stack Engineer to drive architecture and build AI-driven talent-matching systems for a global, fully-remote marketplace.

Posted 9 days ago

Senior technical leader sought to architect and productionize scalable machine learning and GenAI solutions for a global engineering talent marketplace.

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Posted 10 days ago

Prophet Security is hiring a Backend Software Engineer with deep LLM, ML systems, and backend engineering experience to help productionize generative-AI security capabilities.

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Lead the design and production deployment of generative-AI and large-scale ML systems that power next-gen network intelligence at Extreme Networks.

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Posted 24 days ago
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Vision Insurance
Paid Holidays

Kandji is hiring a Staff AI Engineer to design and build scalable AI platform services and apply LLMs to create intelligent, production-ready features for device management and security.

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Lead the development and production deployment of scalable, high-impact ML systems as a Senior Staff Machine Learning Engineer at Flex (remote, US).

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Datadog Hybrid Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA
Posted 27 days ago
Customer-Centric
Rapid Growth
Diversity of Opinions
Reward & Recognition
Friends Outside of Work
Inclusive & Diverse
Empathetic
Feedback Forward
Work/Life Harmony
Casual Dress Code
Startup Mindset
Collaboration over Competition
Fast-Paced
Growth & Learning
Open Door Policy
Rise from Within
Maternity Leave
Paternity Leave
Flex-Friendly
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off

Datadog is hiring a Staff AI Engineer to lead large-scale GenAI/ML model development and deployment for its Graphing product lines (dashboards, notebooks, sheets, search, and visualization).

MobilityWorks Regular Full-Time READING, Pennsylvania
Sponsored
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Lead design and delivery of scalable, secure AI/ML and data platforms that enable analytics and model-driven decision-making across the organization.

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Posted 28 days ago

Ironclad is looking for a Staff Software Engineer - Applied AI to build and productionize LLMs, RAG systems, and document-understanding services that deliver actionable contract insights.

Lead the design and production deployment of advanced machine learning models at Jerry.ai to scale AI-driven product experiences for millions of drivers.

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Lead the architecture and production deployment of scalable AI/ML systems for high-impact fintech products at a rapidly growing company.

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Lead the effort to productionize GenAI features as a Staff Full Stack Engineer, bridging frontend, backend, and ML to deliver scalable, production-quality AI features for AEC-focused products.

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Senior engineering role to design and lead scalable, secure AI and data platforms that enable analytics, ML/LLM workflows, and data-driven decisions across a distributed, remote-first US team.

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