ML Engineer, Recommender Systems - Hybrid Role

Placements24; Bloemfontein; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work

Health & wellness benefits

Training and development

Innovative AI environment

Job summary

Placements24 is seeking a talented Machine Learning Engineer focused on Recommendation Systems to join their Bloemfontein team. You will design, develop, and deploy highly personalized and scalable recommendation engines that enhance user experience and drive engagement.

You will work with large datasets, apply advanced ML techniques, and collaborate with cross-functional teams to deliver innovative AI solutions in a fast-paced environment. Hybrid work flexibility is offered.

Qualifications

• Bachelor's or Master's in CS/Data Science or related field.
• 3+ years in machine learning, especially recommendation systems.
• Proficiency in Python and ML libraries (Scikit-learn, TF, PyTorch).
• Strong data structures, algorithms, and statistical modeling knowledge.
• Experience with big data tech (Spark, Hadoop) and SQL.

Responsibilities

• Design, build, and maintain ML models for personalized recommendations using collaborative/content/hybrid methods.
• Process large-scale user data to extract features and insights.
• Implement and optimize algorithms for real-time performance and scalability.
• Collaborate with product managers and software engineers to integrate features.
• Conduct A/B testing and performance analysis to improve models.
• Stay updated with recommender systems research and best practices.

Skills

Python

Scikit-learn

TensorFlow

PyTorch

Statistical modeling

Data analysis

Collaborative filtering

Education

Bachelor's or Master's in CS/Data Science

Tools

Spark

Hadoop

SQL

Job description

Placements24 is seeking a talented Machine Learning Engineer focused on Recommendation Systems to join their Bloemfontein team. You will design, develop, and deploy highly personalized and scalable recommendation engines that enhance user experience and drive engagement.

You will work with large datasets, apply advanced ML techniques, and collaborate with cross-functional teams to deliver innovative AI solutions in a fast-paced environment. Hybrid work flexibility is offered.