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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