Machine Learning Engineer Specialist - Automation

Booking Holdings (NASDAQ: BKNG) is the world leader in online travel and related services, provided to customers and partners in over 220 countries and territories through six primary consumer-facing brands - Booking.com, KAYAK, Priceline, Agoda.com, Rentalcars.com, and OpenTable. The mission of Booking Holdings is to make it easier for everyone to experience the world. During 2019, the Company had consolidated revenues and net income of $15.1 billion and $4.9 billion, respectively, and a current market value of approximately $90 billion. Booking Holdings Bangalore is a Center of Excellence based in Bangalore, India and a legal entity of Booking Holdings Inc. The Center was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of the Booking Holdings brands and business units. It wasn’t so long ago that booking a trip to see the Eiffel Tower, stroll down New York’s iconic Madison Avenue or feel the sand between our toes on Copacabana Beach was simply a matter of a few taps on our smartphone. In fact, that’s what we do at Booking.com. We make it easier for everyone to experience the world. And while that world might feel a little farther away right now, we’re busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission.We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready. As a Machine Learning Engineer you are a driver of your discipline, who generates significant business impact directly and indirectly, and crafts the direction of product initiatives by being driven and having full ownership of your projects - from ideation to collecting data, annotating, feature engineering, productionizing and training model pipelines, deploying experiments, measuring and iterating on them - as well as coaching other Machine Learning Engineers, Scientists, Data Engineers, Product Managers, etc to do the same. Responsible Execute applied research plans for machine intelligence on a specific product by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences. Document and share the findings. Translate specific business problems into ML/AI challenges and identify the best approach within the constraints of the production environment. Build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders. Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining. Monitor product health, performance and business impact and act accordingly when not met. Build readable and reusable code, choosing the right technologies, coding methodologies, and approach from carefully designed rapid prototyping to software deployment at scale. Identify opportunities for platform-based development and reuse by abstracting business problems to generalized ML/AI solutions. Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields. Coach others through evidence and clear communication, explaining advanced technical concepts. Identify underlying issues and opportunities across domains and situations through application of structured thinking and logic, and formulate possible improvements. Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact. Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues. Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams. Skilled Computer Science, Engineering or similar university background is a must-have. Advanced knowledge in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Information Retrieval, Computer Vision, NLP). Minimum 4 years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization. Strong working experience in one or more general purpose programming languages, including but not limited to: Python or R. Ability to compliment our current RPA technology (Blueprism) with experience piloting with Gen AI Design, train, and optimize models to generate high-quality, creative content. Professional experience with the following technologies is a must: SQL, HTTP APIs and Web Services Professional experience with AWS, Python, Docker, GIT, CI/CD, Terraform and Puppet is a GOOD to have to support our Infra & Security needs Experience working in a scrum/agile environment. Excellent communication skills in English both written and verbal. Emphasizing clean, accurate and maintainable documentation. About BKNG Booking Holdings is the world leader in online travel & related services. Our teams work around the clock to build and improve the technology that empowers people to more freely travel across borders, time zones, languages and cultures. At Booking Holdings, we make it easier for everyone to experience the world every day through seamless technology powered by our six major brands: Booking.com KAYAK priceline agoda Rentalcars.com OpenTable Through the Booking Holdings brands, we help our customers reach all corners of the earth. Our ability to provide great service rests on how well we understand our diverse customer base, which is why having a diverse team is so important to us. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration. EEO Statement: Booking Holdings is an equal opportunity employer in accordance with all applicable federal, state and local laws. We ensure equal employment opportunity to all employees and applicants without discrimination or harassment based on race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, or local law. Booking Holdings also extends this policy to every phase of the employment process including, but not limited to, recruitment, selection, placement, transfer, training and development, position elimination, restructure, promotion, compensation, benefits, layoffs, termination, and all other conditions or privileges of employment. Booking Holdings and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need reasonable accommodation in order to search for a job opening or apply for a position, please email reasonableaccommodation@bookingholdings.com with your request. M/F/V/D/SO Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.