Job Title: R&D Engineer – Machine Learning
Duration: 12 months
Location: Dublin (Hybrid)
Day Rate: €High
A partner of Alldus are seeking a talented and highly motivated Research & Development Engineer specializing in Machine Learning to join their team on a 12-month contract basis. As an R&D Engineer, you will play a crucial role in developing and enhancing recommendation systems for a variety of applications, including Apps, Galleries, Games, and Music. The successful candidate will have expertise in recommendation systems, possess a Ph.D. degree, and demonstrate a strong track record of optimizing click-through rate (CTR) and conversion rate (CR). Additionally, a proven publication record in top-tier conferences/journals and a passion for staying updated with the latest AI advancements are highly desirable. This position offers an excellent day rate, provides a hybrid working arrangement in Ireland and has a high chance of extension beyond 12 months.
- Collaborate with cross-functional teams to define project objectives, research requirements, and develop innovative machine learning-based recommendation systems for diverse applications.
- Design, implement, and evaluate state-of-the-art recommendation algorithms, leveraging techniques such as collaborative filtering, content-based filtering, deep learning, and reinforcement learning.
- Optimize click-through rate (CTR) and conversion rate (CR) by conducting in-depth analysis of large-scale datasets and extracting actionable insights.
- Stay abreast of AI advancements and industry trends, evaluating and proposing new methodologies and approaches to enhance recommendation systems.
- Publish research findings in top-tier conferences and journals, contributing to the organization's thought leadership and reputation in the field.
- Collaborate closely with software engineers, data scientists, and product teams to ensure seamless integration and deployment of recommendation systems into various applications.
- Conduct rigorous experiments and A/B tests to evaluate the performance of recommendation models, iteratively improving their effectiveness.
- Develop scalable data pipelines and efficient data processing workflows to handle large volumes of structured and unstructured data.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions that drive customer engagement and satisfaction.
- Document research findings, methodologies, and technical specifications, ensuring clear and concise communication within the team and across departments.
- Ph.D. in Computer Science, Data Science, or a related field.
- Relevant industry experience and a strong publication record in top-tier conferences/journals.
- Expertise in developing and optimizing recommendation systems, with a focus on click-through rate (CTR) and conversion rate (CR) using machine learning techniques.
- Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and relevant libraries/tools (e.g., scikit-learn, pandas, NumPy).
- Proven experience in building recommendation systems for diverse applications such as Apps, Galleries, Games, and Music.
- Strong analytical skills and proficiency in analyzing and interpreting complex datasets to extract meaningful insights.
- Up-to-date knowledge of AI advancements, industry trends, and best practices, with a passion for continuous learning and self-improvement.
- Track record of publications in top-tier conferences/journals related to machine learning, recommendation systems, or AI.
- Proficiency in programming languages such as Python or R, with experience in data manipulation, analysis, and visualization.
- Familiarity with scalable data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is advantageous.
- Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse stakeholders.
This is an immediate requirement to join a leading ML team and contribute to the future of AI advancement. If you match the above criteria and are interested in learning more, please share an updated CV and we can discuss further.
NOTE: All applicants must be based in Ireland with EU or UK passport or a Stamp4 Visa.