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Machine Learning Engineer

  • Location: Plano, TX, 75024
  • Job Type:Contract

Posted about 1 month ago

Terrific 12+ months contract in Plano, TX for a Machine Learning Engineer. Will migrate to cloud AWS (EC2 and S3). Will work with Data Science team. Will 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.
 
Job 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.
  • Will work on ML Ops/DevOps Practices.
 
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.
  • 5+ years of 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.
  • Needs to be an expert to pass on the knowledge to rest of the team on DevOps/MLOPS.
 
If this is a good fit, Apply now!