Machine Learning Engineer W2 ONLY Job at Stellent IT LLC, Plano, TX

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  • Stellent IT LLC
  • Plano, TX

Job Description

Machine Learning Engineer

Location: 6565 Headquarters Dr Plano, TX (Onsite)

Contract Duration: 6 months (No extension possibility)

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. The ideal candidate excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.

Key Responsibilities:

Transform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverage.

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.

Maintain and monitor existing pipelines and model APIs to ensure optimal functionality.

Collaborate 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:

Experience:

4-5 years of experience (Software Developer experience (60%) + Data Science (40%))

Skills:

Proficiency in Python, SQL, SAS, Snowflake, AWS

Education:

Graduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.

Work Experience:

At least one year of relevant work experience.

Additional Skills:

Experience with SAS programming language, API frameworks (Flask, FastAPI), and Amazon SageMaker. Ability to design and implement comprehensive testing strategies.

Interview Process:

Rounds: 2-3 rounds (MS Teams Coding exercise, Phone screening, and Panel Interview)

Priyanka

Sr. Recruiter

Phone: 2015814821

Email: Priyanka@stellentit.com

Gtalk: Priyanka@stellentit.com

Job Tags

Contract work, Work experience placement,

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