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AI/ML Engineer

2 months ago

Pleasant Grove, Utah, United States Pura Full time
Job Description

We are seeking a highly skilled AI/ML Engineer to join our team at Pura. As a key member of our R&D team, you will be responsible for developing and deploying machine learning models to enhance our products and improve customer experiences.

About the Role

  • Develop and maintain data pipelines for R&D, ensuring seamless data integration and processing.
  • Implement machine learning models to enhance product performance and user experience.
  • Collaborate with cross-functional teams to ensure data-driven approaches align with business goals.
  • Monitor and report on model performance, using data to drive further improvements.

Responsibilities

  • Create and maintain data pipelines and orchestration for R&D.
  • Establish data integration setups to consolidate diverse data types, including structured and unstructured data.
  • Develop and implement user-friendly interfaces for easy data entry and retrieval.
  • Build out storage needs for machine learning models and pipelines in collaboration with data and software engineers.
  • Develop capabilities for handling and processing real-time data inputs, particularly for features like dynamic fragrance diffusion.
  • Implement machine learning models to enhance personalized customer experiences, develop model training pipelines on existing datasets, and create user preference datasets used for analysis and intensity prediction models.
  • Operate within frameworks for collaborative design between R&D and production teams to productionalize predictive models.
  • Collaborate with Data Scientists to refine ML models using new data inputs to enhance accuracy and effectiveness.
  • Create adaptive systems that adjust fragrance settings in real-time based on continuous feedback.
  • Develop guidelines to ensure AI models are ethically developed and deployed.
  • Implement systems for ongoing monitoring of model performance and mechanisms for easy updating and maintenance.
  • Utilize and leverage various technologies and tools, such as Airflow for workflow orchestration, EKS for scalable container management, Terraform for infrastructure as code, PySpark for big data processing and analysis, and BigQuery (BQ) for data warehousing.
  • Evangelize your unique skill-set, knowledge, and recommendations across the business and mentor junior team members in all aspects of MLE.

Cross-Functional Support

  • Collaborate with data scientists, engineers, product developers, and marketing teams to ensure insights from data analytics and AI/ML are effectively translated into product features and marketing strategies.
  • Develop and maintain frameworks for ongoing collaboration between R&D and production teams.
  • Collaborate with cross-functional teams to ensure the seamless handoff of well-documented technology to Product and Engineering teams for future product innovations.
  • Communicate timelines and production schedules with broader teams.
  • Automate model movement and feature store curation and creation.
  • Integrate AI/ML output into Pura software infrastructure, including AWS/GCP, vial tracking applications, and mobile applications.