About this role
Recommender Systems Engineer
Location: Remote (United States)
Work Type: Short term Contract
Role Overview
An established organization requires a Recommender Systems Engineer to design and implement robust production infrastructure. This position focuses on the execution and optimization of recommendation pipelines rather than model design. The ideal candidate will possess deep expertise in building scalable, real-world retail recommender systems. Responsibilities include deploying machine learning infrastructure that handles large-scale data workflows seamlessly.
Key Responsibilities
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Build, scale, and maintain the production infrastructure required for recommendation systems.
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Implement data pipelines and workflows to support retail recommendation algorithms.
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Optimize system performance for machine learning models at scale.
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Collaborate with engineering teams to integrate recommender infrastructure into existing platforms.
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Ensure reliability, efficiency, and scalability of real-time and batch processing systems.
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Required Qualifications
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Education: A bachelor's degree in Computer Science, Software Engineering, or a related technical discipline is required.
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Experience: Demonstrated professional experience building and deploying infrastructure specifically for retail recommender systems is required. Candidates must possess practical experience in machine learning engineering rather than theoretical data science model design.
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Technical
Skills
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Proficiency in Python, Spark, Databricks, ML Flow, XGBoost
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Benefits
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Overview: The employer offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. An employee stock purchase program and a 401K program with company match after 12 months may be available. Additional benefits include a Health Savings Account, an Employee Assistance Program with counseling sessions, a corporate discount program, and other perks. The organization also provides on-demand training, access to certification prep and a library of technical and leadership resources after tenure milestones, and discounts for professional associations.
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The employer is an equal opportunity employer and does not discriminate on the basis of protected characteristics. Qualified applicants will be considered without regard to criminal histories in a manner consistent with applicable law.
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If you require an accommodation under the Americans with Disabilities Act to participate in an interview or to use the website for a search or application, please contact the appropriate department.
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Benefits details may vary and are subject to change.