About The Position

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. As a catalyst on our Global Advanced Services Innovation team, you will design, pilot, and scale the cutting-edge AI architecture that powers Everpure’s enterprise solutions. Operating at the highest technical level, you will transform complex, global business challenges into repeatable, production-ready AI frameworks, collaborating closely with Enterprise Architects, Engineering, and Sales to drive measurable customer outcomes.

Requirements

  • Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).
  • Deep technical capability in structuring data platforms, data pipelines, and high-throughput distributed systems (like Spark or Kafka) optimized for performance and scalability.
  • Exceptional ability to bridge the gap between deep technical engineering and strategic business needs, guiding cross-functional product, sales, and delivery teams toward a unified technical vision.
  • A strong bias for execution and experimentation, with the agility to navigate ambiguous environments and design cost-effective, high-impact technical architectures.

Responsibilities

  • Design and develop end-to-end AI/ML solution patterns, robust data pipelines, and model architectures that seamlessly integrate with Everpure’s core enterprise offerings.
  • Spearhead high-impact MVPs and Proofs of Concept (PoCs) for strategic global customer engagements, rapidly moving experimental AI models into scalable, commercially viable production environments.
  • Translate ambiguous customer requirements into high-performance, cost-effective AI solutions, directly influencing services growth and high-value deal success.
  • Define organization-wide best practices for the AI model lifecycle, data governance, and responsible AI usage to ensure long-term solution scalability and compliance.

Benefits

  • flexible time off
  • wellness resources
  • company-sponsored team events
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