About the Team
We are a multidisciplinary team combining expertise in computer science, mathematics, and economics, all united by a shared passion for advancing the field of recommender systems. With a dynamic, enthusiastic, and can-do attitude, we tackle every challenge with creativity and energy. We pride ourselves on a collaborative, multicultural environment, where improvement and innovation are at the core of everything we do.
About the Job
As a Machine Learning Engineer, you will play a key role in developing and deploying product features, tasks, and models. Your primary responsibility will be to ensure the smooth operation of production pipelines, utilizing internal tools effectively. You will also be expected to offer suggestions and optimize the production workflow. Additionally, you will support the development of complex algorithms and models using large, real-world datasets to drive the success of the project. You will regularly collaborate with our Headquarters to stay updated with state-of-the-art advancements and ensure global version consistency.
Responsibilities
* Ensure the continuous operation and stability of production pipelines, troubleshooting issues and optimizing workflow efficiency.
* Develop, maintain, and optimize deep learning-based recommender system models for various use cases, such as click-through rate (CTR) prediction.
* Collaborate with data scientists to transform data science prototypes into production-ready solutions, perform statistical analyses, and assess the online performance of these models in large-scale environments.
* Continuously interpret model performance and recommend adjustments to improve prediction accuracy, scalability, and overall business impact.
* Building, maintaining, and optimizing training-ready features from raw data to improve model training performance.
* Work cross-functionally with multiple teams to enhance the overall performance of the advertising recommender framework, ensuring alignment with the latest advancements and business needs.
Requirements
* Bachelor`s degree in a quantitative discipline (e.g., Computer Science, Information Systems, Mathematics, Statistics, Physics, and Bioinformatics), Phd/Master's degree are preferred.
* Experience applying advanced Machine Learning and Artificial Intelligence techniques to real-world and large-scale problems is highly preferable.
* Solid foundation in Machine Learning, with a deep understanding of the underlying algorithms, theories, and mathematical principles.
* Strong programming skills in Python and SQL, with applied experience in Deep Learning frameworks such as Keras, TensorFlow, and PyTorch.
* Programming skill in Java is a plus.
* Experience and knowledge in Hadoop, Spark, and Hive are preferred
* Work experience in Online Advertising, Search Engines, or Recommender Systems is preferred
* Proficiency in English is mandatory. Chinese speaking is a plus.
If the role interests you, please get in touch via email for more details.
If you are interested in other roles or career change, please do not hesitate to contact me too.
Adecco is an equal opportunity employer.
Adecco Ireland is acting as an Employment Business in relation to this vacancy.
Please apply with your CV to:
Luan da Cruz