Machine Learning Engineer - Recommender Systems

NEW Contract / Permanent role - Machine Learning Engineer - Recommender Systems!

Are you passionate about harnessing the power of machine learning to shape the future of recommender systems? Do you thrive in a dynamic, multidisciplinary environment? If so, we want to hear from you! Our client is seeking a talented Machine Learning Engineer to join their enthusiastic team of experts in computer science, mathematics, and economics. Together, we're committed to driving innovation and excellence in the field of recommender systems.

About the Role:

As a Machine Learning Engineer, you'll be at the forefront of developing and deploying cutting-edge product features and models. Your expertise will ensure the seamless operation of our production pipelines, while your creativity will help optimise workflows and enhance performance. You will work with large, real-world datasets to build complex algorithms that not only meet but exceed project goals.

Key Responsibilities:

Stability First: Ensure continuous operation and stability of production pipelines while troubleshooting issues and optimising efficiency.
Model Development: Design, maintain, and enhance deep learning-based recommender system models for diverse use cases, including click-through rate (CTR) prediction.
Collaboration is Key: Partner with data scientists to transform prototypes into production-ready solutions, conducting statistical analyses and monitoring model performance in large-scale environments.
Continuous Improvement: Regularly assess model performance, recommending adjustments to boost prediction accuracy and scalability.
Feature Engineering: Build and optimise training-ready features from raw data to enhance model training performance.
Cross-Functional Impact: Work alongside multiple teams to elevate the performance of the advertising recommender framework, aligning with the latest advancements and business needs.

What We're Looking For:

A PhD/Master's degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics.

Proven experience applying advanced Machine Learning and AI techniques to real-world, large-scale problems.

Solid understanding of machine learning algorithms, theories, and mathematical principles.
Proficient in Python and SQL, with hands-on experience in Deep Learning frameworks like Keras, TensorFlow, or PyTorch.

Familiarity with Java is a plus!

Knowledge of Hadoop, Spark, and Hive is preferred.

Experience in Online Advertising, Search Engines, or Recommender Systems is a distinct advantage.

Chinese speaking skills are a bonus to facilitate communication with our client's headquarters.

Why Join?

Innovative Environment: Join a collaborative, multicultural team where creativity and improvement are at the heart of everything we do.
Career Growth: Be a part of a project that not only challenges you but also allows you to grow and learn alongside industry experts.
Work-Life Balance: We value our team members' well-being and encourage a healthy work-life balance.
If you're ready to make a significant impact and advance your career in the exciting field of recommender systems, apply today! Let's shape the future together!

Apply Now!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.


Adecco Ireland is acting as an Employment Business in relation to this vacancy.