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. Apply Job!