Machine Learning Engineer Tech Providers Inc. Plano, TX Contractor $1.00 - $69.85 / hour


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  • Description:
    RM Notes:
    • 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.
    • 3-5 years exp, extensively hands-on individual
    • 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
  • Requirements:
    • 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

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