Machine Learning Engineer I (Contractor)

Description
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.
Responsibilities:
Build, improve, and verify machine learning algorithms that support product and application objectives.
Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.
Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.
Contribute to prototype development and exploratory initiatives that help shape future technical solutions.
Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.
Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.
Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
Requirements
Bachelors degree in computer science, computer engineering, mathematics, or a related technical field, or equivalent industry experience.
1-3 years of experience in machine learning, deep learning, data mining, statistical analysis, or a closely related area.
Proficiency in software development with strong programming ability in Python and familiarity with Java or Scala.
Experience deploying machine learning models and supporting model performance through validation and monitoring practices.
Knowledge of data pipeline and cloud-related technologies, including tools such as Kafka, Spark, and Docker.
Ability to create clear technical documentation, reports, and presentations for engineering and project stakeholders.
Strong analytical thinking and problem-solving skills with the ability to evaluate solutions through testing and reporting.
Technology Doesnt Change the World, People Do.
Robert Half is the worlds first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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