Machine Learning Engineer - Recommendation Systems

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

About the Role

Our client is seeking a talented Machine Learning Engineer focused on Recommendation Systems to join their growing team in Bloemfontein . You will be responsible for designing, developing, and deploying highly personalized and scalable recommendation engines that enhance user experience and drive engagement. This role involves working with large datasets, applying advanced ML techniques, and collaborating with cross-functional teams to deliver innovative solutions. Be part of a team that is shaping the future of user interaction through sophisticated AI & Emerging Technologies in the heart of the Free State .

Key Responsibilities

• Design, build, and maintain machine learning models for personalized recommendation systems , utilizing collaborative filtering, content-based filtering, and hybrid approaches.
• Process and analyze large-scale user behavior data to extract meaningful features and insights.
• Implement and optimize algorithms for real-time performance and scalability.
• Collaborate with product managers and software engineers to integrate recommendation features into user-facing applications.
• Conduct A/B testing and performance analysis to iterate and improve recommendation model effectiveness.
• Stay current with research and best practices in recommender systems and related AI fields.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.
• 3+ years of professional experience in machine learning, with a specific focus on recommendation systems .
• Proficiency in Python and experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of data structures, algorithms, and statistical modeling.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Ability to work independently and collaboratively in a fast-paced environment.

Benefits

• Competitive salary and performance incentives.
• Hybrid work flexibility allowing for a balance between office and remote work.
• Comprehensive health and wellness benefits.
• Opportunities for training and development in cutting-edge AI technologies.
• Engaging work environment focused on innovation and impact in Bloemfontein .