ABOUT THE JOB Delivering high-quality Data solutions for TUI MM in accordance with the agreed SLA s and within the budgetCreate data tools for data scientist team members that assist them in building and optimizing our product into an innovative industry leaderCreate and maintain optimal Machine Learning products pipeline architecture pipelines, regarding model and service lifecycleCreate and maintain standard APIs for model inference of the Machine Learning models created by the Data ScientistsMonitor and optimize Machine Learning Data productsWork in combination with Data Engineers in order to provide large, complex data sets to meet the Data Scientists projects requirementsIdentify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Follow and maintain operational and control procedures as a part of an agile teamHelp in the design and modeling of the Data in an Enterprise Data Platform and provide effective solutions in a cloud environmentABOUT YOU Proficiency with PythonExperience with any Python API framework (FastAPI, Flask, Django, )Experience with data and ML pipelinesExperience building solutions using container and orchestration technologiesExperience working with CI / CD frameworksExperience with servicing tools for model lifecycle is highly valuableExperience with Airflow is highly valuableExperience with relational SQL and NoSQL databases, including Snowflake is highly valuableExperience building Python APIs for ML model inference is highly valuableExperience with AWS cloud services is highly valuableFamiliarity with Machine Learning frameworks and libraries is highly valuableAnalytical, conceptual and implementation skillsPassion for learning without fear of failure in a passionate and agile teamExcellent communicator, both verbal and written, in English. Comfortable communicating high level concepts to senior stakeholders whilst also being able to delve into the detail of complex changes when requiredABOUT OUR OFFER Smart working (flexible hours, location and remote) for a better work life balance. Flexible hours and flexible location up to 100% remoteCompetitive salary and benefits as standardCareer progression opportunities in more than 50 countries worldwideDevelop yourself as part of a friendly, richly diverse and virtual international teamExceptional approach to your learning access to free learning platforms & language lessons
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