Machine Learning Manager - Content Intelligence Team

The Content Intelligence team builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
Moreover the team is taking a key role in building in-house LLMs for different needs- moderation, translation, AI trip planner chatbot, content generation and other GenAI applications.

Role Description:
In this position, you will be responsible for the development of our Supply Intelligence capabilities , leveraging content features and GenAI technologies.
You will lead our Content Intelligence Platform and GenAI aspects, including data management, monitoring, modernization, NLP and CV models, and lead the democratization of GenAI across the company by creating versatile capabilities that can be applied to various use cases..
As a technical manager of Machine Learning Engineers and Machine Learning scientists, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.
You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:
Lead and develop a high-performing team, fostering individual growth and collaboration.
Manage and mentor ML engineers and ML scientists, ensuring their professional development and effectiveness.
Develop scalable ML infrastructure and pipelines for efficient data processing and model deployment.
Evaluate architecture solutions based on cost, business needs, and emerging technologies.
Contribute to generative AI development, including novel applications like GPT variants.
Collaborate closely with software engineers to ensure seamless deployment and model inference.
Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.
Collaborate with stakeholders to translate business requirements into viable ML solutions.
Evaluate and integrate new ML technologies to enhance productivity and performance.
Drive continuous improvement through model retraining, performance monitoring, and optimization.
Develop robust ML and AI solutions that meet business objectives while considering production constraints.
Stay abreast of industry methodologies, explore new technologies, and champion their adoption within the team.
Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, and mentoring colleagues.
Advocate for improvements, scaling, and extension of ML tooling and infrastructure.
Foster a culture of innovation, collaboration, and excellence within the ML team.