Machine Learning Engineer

Company: Tech Providers Inc.
Location: Plano, Texas, United States
Type: Full-time
Posted: 08.JUN.2021
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Summary

Title: Machine Learning Engineer Position Type: Contract 12 Months Location: Plano, TX Manager's Notes: Machine Learning Engineer, Exper...

Description

Title: Machine Learning Engineer

Position Type: Contract 12 Months

Location: Plano, TX

Manager's Notes:

Machine Learning Engineer, Experience in Migrating to Cloud AWS (EC2 and S3). Will work with Data Science team. Need to fill gap b/w Data Scientist and Engineers, transitioning from SAAS to Python.

  • Most of the data that team uses is in Snowflake repository.
  • Will work on Client Ops/DevOps Practices.
  • Needs to be an expert to pass on the knowledge to rest of the team on DevOps/MLOps

Responsibilities:

  • Use statistical and machine learning techniques to create scalable analytics solutions within the auto finance space
  • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
  • Drive adoption of best practices across the Data Science organizations
  • Design and architect modular and reusable code both for use in experiments as well as production environments
  • Deliver production-ready code
  • Work with the broader Data Science to define the KPIs for machine learning projects
  • Provide technical/team guidance and training/mentorship
  • Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
  • Prepare and present findings to both technical and non-technical audiences

Qualifications:

  • BA/BS degree or equivalent experience in Computer Science, Information Technology or related disciplines
  • Experience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes) preferred.
  • Production experience working in Data Science, Machine Learning or Software Engineering
  • Experience utilizing GitHub in the Machine Learning pipeline for best practice code management and collaboration
  • Solid production experience using Python (including NumPy), PySpark and SQL
  • Production experience with Apache Spark
  • Strong fundamentals in problem solving, algorithm design and complexity analysis
  • Hands-on experience with web APIs, CI/CD for Machine Learning
  • Experience implementing Machine Learning pipelines in production environments is a plus
  • Experience working with data science within the financial service space is a plus

 
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