AI/ML Team Leader

Job not on LinkedIn

🕒 March 20

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kelvin

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Convertible Note - Kelvin on 2023-10

Consulting • Healthcare • Logistics

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