Kelvin
11 - 50 employees
Founded 2011
⚡ Energy
🔧 Hardware
🤝 B2B
💰 Convertible Note - Kelvin on 2023-10
Energy • Hardware • B2B
Kelvin is a company that modernizes legacy radiator‑heated buildings by delivering smart hardware and electrification solutions that improve comfort and reduce energy costs. Their products include the Cozy, a smart radiator cover that integrates with existing boilers, controls and radiators, and an Adaptive Electrification platform that replaces window AC units with smart heat pumps. Kelvin offers energy savings analyses, incentive procurement, and installation services, with verified heating savings and utility rebate eligibility.
AI/ML Team Leader
Job not on LinkedIn
🕒 March 20
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Kelvin
11 - 50 employees
Founded 2011
⚡ Energy
🔧 Hardware
🤝 B2B
💰 Convertible Note - Kelvin on 2023-10
Energy • Hardware • B2B
Kelvin is a company that modernizes legacy radiator‑heated buildings by delivering smart hardware and electrification solutions that improve comfort and reduce energy costs. Their products include the Cozy, a smart radiator cover that integrates with existing boilers, controls and radiators, and an Adaptive Electrification platform that replaces window AC units with smart heat pumps. Kelvin offers energy savings analyses, incentive procurement, and installation services, with verified heating savings and utility rebate eligibility.
📋 Description
• Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions • Drive unsupervised/self-supervised initiatives • Lead and mentor DS talent, set processes, frameworks and quality standards • Build and deploy AI / ML solutions / models in production
🎯 Requirements
• 8+ years in applied AI / ML technologies, including 2+ years leading teams • Deep experience with time-series ML at scale, ideally with messy industrial data • Proven track record of shipping and operating AI / ML solutions in production • Strong Python and engineering fundamentals • Strong communication skills, comfortable working directly with customers and cross-functional teams
🏖️ Benefits
• Equal Opportunity Employer • Committed to diversity and inclusion in the workplace
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