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Machine Learning Solution Architect 🔥


Description

DagsHub is looking for our first Machine Learning Solution Engineer to join our rocket ship and be the driving force in creating solutions that make our customers and users happy and successful.

DagsHub is where people build data science projects. We leverage popular open-source tools to version datasets & models, track experiments, label data, and visualize results. Our customers need to solve cutting-edge machine learning problems, and they look to us for advice on the best ways and tools to accomplish that.

As a Machine Learning Solution Engineer, you will have a critical role in ensuring our customers understand how to utilize DagsHub as part of a larger ecosystem of tools to achieve their goals. You will have a major part in our overall enterprise sales process.

You will

  • Become a trusted technical advisor – Most teams working on machine learning problems have a hard time cutting through the noise that exists today. Gathering experience with real-world teams and businesses deploying machine learning and sharing them with others is a huge service to the industry.
  • Understand the technical challenges and tools used by our customers & users
  • Design and present technical solutions that meet customers’ needs
  • Communicate DagsHub’s added value, differentiation, and integration with the customers’ existing stack
  • Create, or coordinate with other team members to create assets that help push forward engagements with prospects
  • Take the lead on building POCs and early customer deployments, providing solutions for their use cases in a way that actually works
  • Represent the customer internally, identify and communicate technical issues and challenges and work with R&D to solve them
  • Be part of the founding team - have a ton of impact on our vision, understanding the community's needs and prioritizing how it should be brought to life
  • Represent DagsHub at events and within the data science and machine learning community.

Qualifications – You are

  • Experienced with a proven track record in Applied Machine Learning, Machine Learning Operations, DevOps, or Solution Architecting. You will need technical skills to understand complex topics and build machine learning solutions at an expert level.
  • Entrepreneurial/Founder Mentality. You can figure things out! You’ll get the support you need, but you need to be resourceful, scrappy, and self-motivated.
  • Great communicator. You can present to very technical audiences. You explain complicated technical topics to non-technical people while also being able to engage in a deep technical discussion.
  • Native-level English Speaker. You will need to effectively write formal content and communicate with users and customers in English.
  • Experienced in breaking down complex problems and solving them through customer consultation and execution.
  • A fun person to work with! We are in this together for the long haul.

Bonus – You have

  • 2 years of experience in technical sales, especially in selling machine learning, data, big data, and analytics systems
  • Experience with data engineering, MLOps and tools such as Docker and Kubernetes
  • You have an interest or experience in building or contributing to open source projects.

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