Machine Learning

This position accepts only profiles who can work on W2. Please share profile only if you are interested on W2

Job Title              :              Machine Learning Engineer (1400362)

Duration             :              6 Months

Location              :              Plano, TX - Can be remote based on the Candidate experience

Interview (2 - 3 rounds): MS Teams – Coding exercise, Phone screening and panel Interview.

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
• Translate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and downstream teams

Requirements:

• 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
• Experience in building and deploying machine learning models in cloud environments (AWS, Snowflake)

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.

If you are interested in the position mentioned above, please share your updated resume to vince.pendli@comtecinfo.com