Machine Learning Engineering Manager
2 weeks ago
We are seeking a highly skilled Machine Learning Engineering Manager to join our Data Science Management Team. As a key member of our team, you will play a crucial part in leading the production of advanced analytics and Machine Learning initiatives.
Key Responsibilities- Manage the day-to-day activities of the Machine Learning Engineering team, ensuring they deliver high-quality solutions.
- Coach and develop the MLE team to leverage cutting-edge Data Science, Machine Learning & AI technology.
- Maintain, evolve, and develop our platforms to ensure robust, scalable environments for Data Scientists.
- Provide technical guidance, support, and mentorship to team members, helping them grow in their roles.
- Stay current with industry trends and advancements in AI and ML to support the company's data strategy.
- Establish and enforce best practices for ML & AI model deployment and monitoring.
- Strong technical background with a proven ability to maintain hands-on technical contribution while managing a team.
- Experience of training, evaluating, deploying, and maintaining ML models.
- Sound understanding of data warehousing and ETL tools.
- Strong technical skills in key tools and technologies: Python and PySpark for data processing, familiarity with Snowflake, RDBMS, or other databases, experience of working with Cloud infrastructure, experience of building infrastructure as code using technologies such as Terraform, exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch.
- Strong drive to master new tools, platforms, and technologies.
- Methodical approach with good attention to detail.
- Effective communication skills – ability to work with international teams and across cultures.
At Jet2, we're redefining travel experiences and creating memories for millions of passengers. We're a dynamic and innovative company that's always looking for talented individuals to join our team. If you're passionate about AI and Machine Learning, and you're looking for a challenging and rewarding role, we'd love to hear from you.
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