Job Overview

Location
Plano,, Texas
Job Type
Full Time
Date Posted
26 days ago

Additional Details

Job ID
27040
Job Views
9

Job Description

What You’ll Be Doing

  • Transform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverage
  • Work with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end tests
  • Build a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and Snowflake
  • Assist in deploying machine learning models into production environments, ensuring scalability, reliability, and performance
  • Maintain and monitor existing pipelines and model APIs to ensure optimal functionality
  • Work closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releases
  • Translate business requirements into technical solutions through effective communication

Requirements

  • Year of experience – 3 -5 Years of experience.
  • Client is looking for someone with (Software Developer experience (60%)+ Data Science(40%) , AWS skills, (Python, SQL, SAS, Snowflake). If someone has prior SAS experience and can Transform the legacy codes from SAS to Python will be a great fit (Not Mandatory)
  • Graduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.
  • Proficiency in Python and SQL development.
  • Experience with modern software development practices, including version control systems and infrastructure-as-code.
  • At least one year of relevant work experience is required

Desired

  • Highest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. "
  • Active AWS Solutions Architect Associate certification
  • Experience with SAS (statistical analysis) programming language
  • Experience working with API frameworks (Flask, FastAPI) and Amazon SageMaker
  • Ability to design and implement comprehensive testing strategies.

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

Similar Jobs

Full Time
Full Time
Full Time
Full Time

Cookies

This website uses cookies to ensure you get the best experience on our website. Cookie Policy

Accept