Principal Data Scientist
Listed on 2026-09-14
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Company Description
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.
Company DescriptionWelcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.
Transforming Waste into ValueAt Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond..
Find out more about Kanadevia Inova at
Job Description- Lead the design, development, validation, and deployment of advanced AI, machine learning, optimization, and analytics solutions for strategic business challenges.
- Act as the organization's AI and Data Science subject matter expert, driving adoption of best-in-class methodologies and emerging technologies.
- Define and maintain standards for experimentation, model validation, MLOps, monitoring, explainability, and lifecycle management.
- Collaborate with product, engineering, and business stakeholders to develop AI-driven use cases, influence product strategy, and guide architecture decisions.
- Mentor technical teams, promote innovation and analytical thinking, and ensure AI solutions meet regulatory, security, and governance requirements.
- Proven experience delivering multiple production-grade AI/ML solutions from concept through operations.
- Strong expertise in machine learning, MLOps, cloud platforms, data engineering, and software development practices.
- Experience across the full AI solution lifecycle, including PoC, MVP, industrialization, deployment, and support.
- Demonstrated technical leadership with a successful track record of mentoring and developing technical talent.
- Relevant industry experience and the ability to translate business needs into scalable AI-driven solutions.
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