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AI/ML Ops Engineer

3 months ago

Pleasant Grove, United States Pura Full time
Job DescriptionJob Description

R&D AI/ML Ops Engineer

 The Opportunity 

Pura, based in Pleasant Grove, UT, has been revolutionizing fragrance and IoT (internet of things) connected experiences in homes for the past several years. We obsess over providing world-class experiences for our customers, partners, and vendors. We pride ourselves on maintaining a team-based culture, quality, innovation, and continuous growth and development Our teams build and maintain apps, services, fragrances, and devices that power all of the connected experience platforms for Pura customers, internal and external.

 

We are seeking an AI/ML Ops Data Engineer who is enthusiastic about diving deep into data, deploying models, and contributing to innovative product enhancements. This role is crucial for utilizing data science to enhance our products, ensuring Pura continues to lead in creating exceptional home and automotive scent experiences. The ideal candidate will be detail-oriented, skilled in statistical analysis, and an expert in machine learning orchestration. Additionally, they should have experience in computer vision, regression and classification, deep learning frameworks, and reinforcement learning. We are looking for someone excited about turning complex data into actionable insights.

 What we're looking for:
  • Innovative: You drive change and innovation by leveraging data insights to improve product development and customer experiences.
  • Collaborative: You excel in cross-functional teamwork, ensuring data science aligns with overall business strategies.
  • Analytical: You thrive on dissecting data and understanding the nuances of machine learning to solve complex problems.
  • Detail-Oriented: Precision in your work allows you to develop and document reliable models that improve our product offerings.
  • Proactive: You actively seek new methods and technologies to stay ahead in data science and machine learning engineering.
  • Data-Driven: Your decisions are always supported by data, ensuring product advancements are quantifiably effective.
 What You’ll Own:
  • Create and maintain data pipelines for R&D.
  • Implementation of machine learning models to enhance the performance and user experience of our products.
  • Participation in cross-functional teams to ensure data-driven approaches are aligned with business goals.
  • Monitoring and reporting on the performance of deployed models, using data to drive further improvements.
 What You’ll Do:
  • Create and maintain data pipelines and orchestration for R&D.
  • Establish data integration setups to consolidate diverse data types including structured, and unstructured data into a unified database.
  • Develop and implement user-friendly interfaces for easy data entry and retrieval.
  • Build out the storage needs for the 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 in Puralast.
  • 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 to inform users about the remaining life of their fragrance.
  • 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, to effectively accomplish and streamline the aforementioned responsibilities.
  • 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.
 

All candidates are subject to a background check. 

Pura’s Story

Pura—a company that married smart-home technology and fragrance diffusers, all controlled by the Pura app. At Pura, our mission is to create a luxury fragrance experience in each home that can change moods and brighten days. We are partnering with the leading premium fragrance brands, celebrities and lifestyle brands in the industry to bring customers’ favorite scents to their home with the touch of a button. And that’s just the beginning. 

Pura started in 2014 and raised a seed round of 4.4M in February of 2020. Pura thrives on hiring or creating the best talent, known as a young and hungry brand that is rapidly becoming a household name around the world.

Check out our story and find out more about our perks and benefits offerings on our website. Explore the latest amazing fragrance launches on Instagram @pura. 

Join the Pura Team


 

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