AI / ML Team Leader

About the Position

AI / ML Team Leader

We're hiring a Leader for our AI / ML / Data Science team (US, California Bay Area or Houston preferred) to build and ship production-grade ML for industrial time-series and multimodal data. You'll spend most of your time hands-on (about 70%) delivering end-to-end solutions with customers, and the rest leading and scaling the data science team (about 30%). Position reports to the CTO and will have two direct reports.

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Responsibilities

• 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.
• Build scalable foundations for baselines, drift detection, model observability, and incident response.
• Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions.
• Drive unsupervised/self-supervised initiatives (representations, clustering, change-point detection, weak supervision, active learning).
• Develop a practical Reinforcement Learning (RL)/decisioning strategy (offline/safe RL, constrained optimization, simulators/digital twins), with guarded rollout patterns.
• Lead and mentor DS talent, set processes, frameworks and quality standards (design/code reviews, documentation, postmortems).
• Build and deploy AI / ML solutions / models in production. Own deployment, monitoring, performance validation, and iteration of models in production.
• Identify, document, and progress patentable innovations tied to closed-loop autonomy and production deployment.

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Requirements

• 8+ years in applied AI / ML technologies, including 2+ years leading teams (hiring, mentorship, performance management).
• Deep experience with time-series ML at scale, ideally with messy industrial data [Ex: Frequency-domain time-series techniques (FFT/spectral analysis) and control/optimization methods (MPC-like approaches)].
• Proven track record of shipping and operating AI / ML solutions in production (MLOps, monitoring, drift, retraining, reliability).
• Strong Python and engineering fundamentals (clean code, testing, production patterns).
• Strong communication, comfortable working directly with customers and cross-functional teams.

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Nice to Have

• Offline/safe RL, constrained optimization, and/or simulators/digital twins.
• Self-supervised learning or foundation-model approaches for industrial time-series and multimodal fusion.
• Robotics and / or Industrial domain experience (manufacturing, energy, chemicals, mining, utilities), including safety/uptime/latency/edge constraints.
• Closed-loop or human-in-the-loop decision systems with governance and guardrails.
• Experience contributing to IP strategy, invention disclosures, and patent filings.

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We Offer

• Opportunity to work in a cutting-edge field of industrial AI/ML.
• Be part of a pioneering team at the forefront of autonomous operations.
• Competitive salary and benefits package.
• Flexible remote work options.

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About the Company

Kelvin Inc is paving a new path toward the future of industrial control applications. Our next-generation autonomous operations platform delivered as SaaS codifies the best engineering knowledge with the power of artificial intelligence. By combining human intelligence and machine learning, Kelvin delivers results across four pillars of customer value: Production Efficiency, Operational Efficiency, and People Efficiency.

Equal Opportunity Employer

Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.