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ML Solutions Architect
Posted on 2/2/2022
INACTIVE
Locations
Remote • Missouri, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Data Structures & Algorithms
Google Cloud Platform
Microsoft Azure
Tensorflow
Python
Requirements
  • Hands-on industry experience in machine learning, data science, and data engineering with proficiency in designing and building end-to-end machine learning solutions
  • Experience with building and automating end-to-end machine learning pipeline on any of the clouds AWS/GCP/Azure is a strong plus
  • Expert in various modeling approaches, architectures, and tuning techniques
  • Deep understanding of the programming languages and systems you've worked on, with advanced proficiency with at least one statistical computing language for data analysis, but strong Python skills is a must!
  • Experience in cleansing, filtering, and re-factoring complex data from different sources
  • Experience of balancing technical decisions with user needs and business constraints
  • Solid foundation in design, data structures and algorithms, and strong analytical and debugging skills with customer-facing experience
  • Passion for architecting and solving business problems with use of machine learning
Responsibilities
  • Work as a core part of Pythian's data science team to help build the platforms that will empower Pythian's customers data. Build, design, implement data analytics and machine learning products and solutions built primarily on Google Cloud Platform
  • Participate in and lead ML use case feasibility workshop sessions with clients and assess datasets for feasibility of use for machine learning purposes
  • Apply ML techniques to deliver models and data for high impact business problems
  • Help to build tools which will enable our engineers develop and apply ML models at scale in the cloud using the latest technologies, such as Tensorflow, Kubeflow, Scikitlearn, etc
  • Build end to end ML pipelines with automation for continuous training (CT) and continuous deployments (CD)
  • Work a shifted work day to match an America's Time Zone
Desired Qualifications
  • End-to-end deployment experience with any one of the ML platforms such as GCP AI platform or AWS Sagemaker is a plus
Pythian

201-500 employees

IT consulting and managed services provider
Company Overview
As a global IT services company, Pythian helps organizations transform by leveraging data, analytics, and the cloud. Pythian designs, implements, and supports customized solutions for the toughest data challenges. Delivering thousands of projects to the cloud, because they believe it is the very best place to be.
Company Core Values
  • Stand apart, stand above - A key differentiator for us is that we’re technology agnostic, which allows us to partner with our clients to address their pain points and needs, as well as offering flexible contract models.