Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Machine Learning Engineer role for a temporary, onsite assignment in Plano, TX.

This position is a 12-month assignment, with potential to extend. The pay range for this role is between $50.00 - $74.07/Hr. Benefits: Medical, Dental, Vision, 401K.

Title: Machine Learning Engineer

Location: Plano, TX.

Duration: 12 months

Description:

What we’re looking for

We are seeking a skilled Machine Learning Engineer to join our team and help transform and modernize critical data science models from legacy code and systems to modern cloud-based solutions using Python, AWS SageMaker, and Snowflake. We are looking for a candidate who excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.

In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.

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 down stream teams

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
• 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.

Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.

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Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.