(Senior) Machine Learning Engineer

4 tygodni temu

Poznań, Polska HolidayCheck Group AG Pełny etat

Your tasks


Interact closely with other data scientists and become a valuable part of our data intelligence team Develop and implement machine learning models to optimize recommendation systems for personalized travel suggestions Evaluate and fine-tune existing models to enhance performance, considering factors like accuracy, business value and model complexity  Stay updated on the latest advancements in machine learning and apply relevant techniques to improve model capabilities Conduct A/B tests to assess the impact of model changes on user engagement and conversion rates. Work on feature engineering and selection to enhance model input, considering both structured and unstructured data Collaborate with data engineers to ensure seamless integration of machine learning models into the platform's infrastructure Implement and maintain scalable and efficient machine learning pipelines for continuous model training and deployment Collaborate with product teams to understand business requirements and translate them into machine learning tasks and objectives

What we are offering you - Our "All inclusive Package"

20-day Workation: Pack your laptop and enjoy 20 days per year in breathtaking locations within the EU. Beaches, mountains, or vibrant metropolises - the choice is yours 50/50 Hybrid Model:  With our 50/50 Hybrid Model, you can juggle between remote work and office presence flexibly. Meet your colleagues for brainstorming sessions, table tennis battles, or inspiring conversations on our 3 office days per week. Strike the perfect balance between flexibility and collaboration. Additionally, you have one flexweek per month where you can work completely remotely. Diverse company culture:  Experience a world trip within a single company. With over 30 nationalities in our team, we celebrate a vibrant and inclusive company culture. You can expect a melting pot of ideas, perspectives, and traditions that will broaden your horizons. Onboarding program:  From newbie to champion - we accompany you on your "Roundtrip" through HolidayCheck and ensure that you feel at home from the very beginning. Get ready to hit the ground running Flexible working hours:  Work-life balance matters to us. Enjoy flexible working hours that fit your lifestyle, allowing you to excel in both your personal and professional endeavors. Free parking or public transportation subsidy: You can choose whether to park your car in your personal free parking space or benefit from a subsidy for public transportation in Munich. Family-friendly: We understand the challenges of balancing work and family. That's why we offer a Kita (childcare) subsidy to ensure your little ones are well taken care of while you follow your passion at work. Training budget: It's no coincidence that one of our company values is #better. We invest in your growth Take advantage of our individual training budget and a comprehensive range of training opportunities, empowering you to develop new skills and unleash your full potential Celebrate Milestones:  With our anniversary vouchers, we celebrate your long-term commitment and show our appreciation with additional vacation days or a monetary contribution towards your next dream vacation. Tech freedom:  At our company, you determine how you work You have the freedom to choose your own hardware, whether it's a MacBook, a Windows laptop, or Linux. Unleash your creativity with the right hardware. Fitness and culinary delights: We care about your well-being Our exclusive fitness discounts and free yoga classes at the office help you to stay active and healthy . In our subsidized canteen in Munich and with our amazing chef Evelyn in Bottighofen, you can expect delicious and healthy meals. A treat for body and mind

What you need to succeed

Proficient in programming languages (primarily Python), with hands-on experience in machine learning libraries/frameworks like Scikit-Learn or XGBoost, experience with TensorFlow or PyTorch is a plus Proven track record in developing and deploying machine learning models as APIs in a production environment (eg. FastAPI or else Flask) Experience in A/B testing methodologies to assess and validate the impact of machine learning model changes Familiarity with MLOps best practices and frameworks (such as MLFlow) Solid understanding of statistical modeling, machine learning algorithms, and their applications in real-world scenarios Knowledge of data preprocessing, feature engineering, and data visualization techniques, particularly in the context of travel-related data Ability to work with large-scale datasets and distributed computing frameworks for efficient model training and inference Collaborative mindset and effective communication skills for working with cross-functional teams and translating business requirements into machine learning tasks. Continuous learning and adaptability to stay abreast of the latest advancements in machine learning and artificial intelligence. Strong problem-solving skills and the ability to analyze complex systems to derive actionable insights for model improvement. You are a pragmatic team player that enjoys collaborating with others. You are interested in pair programming, sharing knowledge, and learning from each other.  You are fluent in English.
Our team Our team operationalizes data for our customers and internal stakeholders. Some of our projects are: hotel recommendations, deals/offer selection, hotel reviews information extraction, customer segmentation etc. We are an international team at multiple locations across Central Europe. Our main programming language is Python. We occasionally publish some of our work on our HolidayCheck techblog: 
What does your hiring journey look like?  You can find all the details about what your hiring journey will look like at our tech blog post  Get to know our different HolidayCheck Product Teams by checking out our blog post 

Are you ready to join the HolidayCheck adventure? Then grab your suitcase full of talents and send us your application Show us who you are, what drives you, and why you're excited to make vacations better together with us.

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