Senior Machine Learning Engineer
- Published on
About the Role
Join Hays, a leading retail company dedicated to exceptional customer experiences and innovative solutions. As a Senior Machine Learning Engineer, you will drive the development of advanced personalization systems through cutting-edge technologies. Your key responsibilities include:
- Architecting and implementing deep learning models for diverse data types, enhancing recommendation systems.
- Leading the optimization of generative AI applications for improved customer engagement.
- Maintaining scalable ML infrastructure on GCP for millions of daily predictions.
- Building end-to-end ML pipelines for training, deployment, and monitoring at scale.
- Collaborating with cross-functional teams to turn business needs into robust technical solutions.
- Spearheading experimentation strategies with key performance indicators.
About the Candidate
To succeed in this role, the ideal candidate should possess the following qualifications:
- Master's or PhD in Computer Science, Machine Learning, or related fields.
- 5+ years of machine learning engineering experience with a focus on personalization.
- Strong expertise in deep learning frameworks (PyTorch or TensorFlow).
- Experience with GCP services and scalable ML infrastructure.
- Proficient in Python, SQL, containerization (Docker), and orchestration (Kubernetes).
- Knowledge of modern recommendation architectures and real-time inference systems.
- Familiar with distributed computing frameworks (Spark) and CI/CD pipelines.
About the Company
Hays is a prominent retail organization that emphasizes leveraging advanced technologies for operational growth. The company culture promotes collaboration and inclusivity, providing employees with opportunities for continual professional growth and access to industry-leading technology.
Company Culture and Benefits
Working at Hays comes with numerous benefits, including:
- Competitive salary and a comprehensive benefits package.
- Opportunities for professional development.
- A collaborative and inclusive environment.
- Engagement with cutting-edge technologies and innovative projects.
- The chance to work with industry leaders.
What You Need to Do Now
If you're interested in joining a pioneering team and advancing your career as a Senior Machine Learning Engineer, click 'apply now' to submit your CV, or call for a confidential discussion about this opportunity.