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Job Description
The Head of Engineering for Data, ML, and AI Tools will lead multiple teams developing AI-powered solutions, voice interfaces, and analytics products to support utility clients and internal operations, focusing on delivering innovative machine learning models and tools for the energy, water, and broadband sectors.
Key Responsibilities
- Lead multiple high-impact teams building AI-powered tools, voice interfaces, analytics products, and machine learning models for utility clients and internal teams.
- Manage Engineering Leads and collaborate with cross-functional teams to define technical strategy.
- Deliver production-grade systems supporting utility use cases such as water leakage detection, churn prediction, and customer dashboards.
- Drive innovation across LLM, data, and ML domains.
Requirements
- Proven experience leading multiple high-impact engineering teams building AI-powered tools, voice interfaces, analytics products, and machine learning models that support utility clients and internal teams.
- Experience managing a group of Engineering Leads and collaborating closely with cross-functional teams to define technical strategy, deliver production-grade systems, and drive innovation across Large Language Models (LLM), data, and machine learning (ML) domains.
- Demonstrated ability to deliver agent-assist tools such as AnswerBots and customer-facing VoiceBots.
- Experience developing predictive models for utility use cases including water leakage detection and churn prediction.
- Experience building client dashboards that turn data into actionable insights.
- Strong understanding of AI, data, ML, and LLM domains relevant to utility industry applications.
- Educational background in a relevant field (implied, as leadership in engineering roles typically require a degree in Computer Science, Engineering, or related fields).
Benefits & Perks
Competitive salary range (not specified)
Work environment that is certified Great Place to Work in multiple countries including France, Germany, Spain, Japan, and Australia
Recognition as one of the Best Workplaces on Glassdoor in the UK with a score of 4.7
Potential for flexible accommodations and customized interview process upon request
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