Machine Learning Engineer ? Data Transformation & Cloud Solutions

Only Looking for W2 candidate, H1B also can apply (Transfer)

Duration;12 months

Location: Plano, TX (On-Site)

Responsibilities: ? 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. ? 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 and 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.

Qualifications: ? Proficiency in Python and SQL development. ? Experience with modern software development practices, including version control systems and infrastructure-as-code. ? Experience building and deploying machine learning models in cloud environments (AWS, Snowflake).

Preferred:
? A graduate degree in fields such as Statistics, Mathematics, Physics, Engineering, Computer Science, Economics/Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, or 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.

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