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Centricity WealthTech

AI / ML Engineer

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Description

We are looking for a hands-on AI Lead who can both build and lead. This is a role for someone who can define the technical vision for AI/ML while actively contributing to the design, development, and deployment of production-grade AI systems.


Key Responsibilities


Leadership and Strategy:

  • Lead, mentor, and grow a high-performing AI/ML team.
  • Define and execute the AI/ML roadmap aligned with business objectives and product strategy.
  • Drive technical excellence and establish best practices across AI engineering and model development.
  • Collaborate with product, engineering, and business stakeholders to identify and prioritize AI opportunities.


AI/ML Development and Delivery:

  • Architect, build, and deploy scalable, production-grade AI/ML solutions on cloud platforms (AWS, Azure, or GCP).
  • Design and implement forecasting, predictive analytics, and machine learning models.
  • Translate business problems into deployable AI solutions that drive measurable outcomes.
  • Ensure successful delivery of AI initiatives with ownership of timelines, quality, and execution.


MLOps and Platform Engineering:

  • Drive best practices across the complete ML lifecycle, including MLOps, CI/CD for ML, Model deployment and monitoring, Governance and compliance,
  • Build robust, cloud-native AI architectures capable of operating at scale.


Requirements:

  • 8+ years of experience in AI/ML with proven team leadership experience.
  • Strong hands-on expertise in machine learning and time-series forecasting.
  • Experience architecting and deploying production-grade AI systems at scale.
  • Deep understanding of cloud platforms (AWS, Azure, or GCP).
  • Strong knowledge of MLOps, CI/CD pipelines, model monitoring, and ML infrastructure.
  • Proficiency in Python and modern software engineering practices, including testing, code reviews, and automation.
  • Demonstrated ability to deliver complex AI initiatives in fast-paced, agile environments.
  • Strong communication, stakeholder management, and cross-functional collaboration skills.

Skills

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See also

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