Dell Technologies Latin America

Machine Learning Operations Product Manager Consultant

Dell Technologies Latin America

Remote job description

Product Manager Consultant - Data Science Operations and Platform

Join us as a Product Manager Consultant on our Data Science Operations and Platform team in Brazil to do the best work of your career and make a profound social impact.

What you'll achieve

Our data scientists & engineers are helping to shape our marketing strategy for a digital world. The algorithms we build touch all customer segments – consumer, small business, commercial & enterprise. Across the model life cycle we do things at scale, few examples:

1. Feature engineering – Our data sets are 900M x 2K columns. We use spark on Hadoop – we want to make it faster. We also want our team to share features and use the same pipe for train & inference – do we need a feature store?

2. Model train – We use Python & R and we train models on R740 - VMs each with 4 Tesla V100s GPUs. We want to reduce train time, how do we parallelize training for non-deep learning models?

3. Model inferencing – We deploy models in production through containers. Our model output (inferences) are used to drive batch / offline marketing campaigns / operations. We want enterprise app to access model through APIs. We need sub millisecond inferencing – what does the API stack looks like?

Do you want to build the ML/AI platform that addresses these challenges?

We are looking for a passionate (fast learner) Product Manager to help build next generation ML-AI platform that powers our business. We offer you a fast-paced work environment in a diverse team with exposure to Dell teams across the globe. You will be part of a dynamic, collaborative and cross-functional team focused on making significant business impacts.

You will:

  • Full ownership of the product, the prioritization of new features and enhancements to existing features and comfortable & passionate about working with Big Data & data Science technologies (Hadoop, Hive, Spark, Cassandra and Kubernetes etc.)
  • Interact with business, platform and Data Science engineering teams to define and deliver new and innovative solutions and products, as well as drive improvements to existing data Science platform and products
  • Be the Technical authority in the program guiding the Engineering teams and providing updates on development progress and technical issue resolution to the upper management for infrastructure related enhancements and issues for data Science teams.
  • Define, communicate and measure success metrics for the customer engagement data science platform
  • Proposes multiple potential solutions for complex or new problems or processes and makes recommendations as to which direction should be taken.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

  • Solid experience in technology relating to design, test or quality and hands-on Experience with Data science and Big data technologies
  • Experience as a Data Scientist or experience as a technical product manager, working very closely with Data Scientists on Big data, database management, and Enterprise software products
  • Experience in the enterprise technology domain, such as Cloud technologies, open source, and analytics
  • A deep understanding of business goals and objectives and excellent understanding of the market and the products, as well as potential partner relationships for the product
  • Strong leadership skills for driving and collaborating cross functional groups

Desirable Requirements

  • A graduate degree in CS or Engineering and prior software development experience, especially with highly scalable and distributed systems
  • Exposure to machine learning, data mining or data analytics products and solutions
Summary
Dell Technologies Latin America
Machine Learning Operations - Product Manager Consultant at Dell Technologies Latin America (allows remote)

Tags: hadoop, rlang, spark
  • location or timezone

  • category

    Product
  • posted

    1195 days ago

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