Job#: 3058983 Job Description: 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
- Build, scale, and maintain the production infrastructure required for recommendation systems.
- Implement data pipelines and workflows to support retail recommendation algorithms.
- Optimize system performance for machine learning models at scale.
- Collaborate with engineering teams to integrate recommender infrastructure into existing platforms.
- Ensure reliability, efficiency, and scalability of real-time and batch processing systems.
Required Qualifications
Education: A bachelor's degree in Computer Science, Software Engineering, or a related technical discipline is required.
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.
Technical Skills: Proficiency in Python, Spark, Databricks, ML Flow, XGBoost
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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