Ready for a challenge?
About this role:
The Revenue Management team owns the consumer pricing agenda globally at JET and is responsible for building the global framework and capabilities around consumer fees. Our team is seeking a talented ML Engineer with passion for solving business problems through the creation and management of advanced machine-learning capabilities and data science tools.
This is a high-impact role where your expertise will directly shape the future of our pricing features. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning, experimentation and pricing, we'd love to meet you.
These are some of the key ingredients to the role:
- Model development & deployment: develop, test, deploy at scale and maintain machine learning models and pricing algorithms, ensuring their scalability, robustness and performance in production. Automate tasks and build infrastructure capable of handling large-scale data processing and complex model serving.
- Experimentation & innovation: explore emerging ML techniques, deep learning methods and advanced algorithms to enhance model capabilities and introduce new pricing solutions.
- Model performance monitoring & improvement: implement tools for real-time model monitoring, evaluate performance and drive continuous improvements to pricing models and pipelines. Implement feedback loops and conduct regular updates to refine models in response to market changes and business needs.
- Data analysis & optimization: conduct data preprocessing, feature engineering and exploratory analysis to optimize our pricing models.
- Collaboration & cross-functional integration: work closely with data engineers, product engineers and tech teams to integrate our pricing models and engines into production systems aligning with business requirements. Foster a collaborative team environment.
- Strategic recommendations & knowledge sharing: share and present findings, key insights and model impacts with both technical and non-technical stakeholders to foster understanding and drive strategic decisions.
What will you bring to the table?
- Strong foundations in Machine Learning engineering. Some years experience in building, deploying and maintaining ML models in production environments.
- Proficient in Python and strong experience with SQL or similar querying languages.
- Strong experience with cloud environments (e.g. AWS, Google Cloud, etc.) and deployment of ML models at scale.
- Familiarity with tools like Vertex (or other ML-Ops platforms) and Vertex AI for managing machine learning workflows.
- Self-motivated, collaborative and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment.
- Problem-solving mindset. Proactive approach and a passion for solving complex pricing challenges through advanced engineering solutions
- Excellent communication and interpersonal skills, capable of bridging technical work with business applications.
At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
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