(Senior) Machine Learning Engineer (m/w/d)
at HolidayCheck Group AG
81673 München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 19 Jul, 2024 | Not Specified | 19 Apr, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
WHAT AWAITS YOU AT HOLIDAYCHECK
Do you want to help us redefine the online travel business? At HolidayCheck, our vision is to make vacations better. We leverage data and technology to create real value for our customers looking for their dream vacation. Within our data lake we process billions of offers every day, we run hundreds of jobs to fuel reports and dashboards that drive our decision-making and product features. We work on exciting features such as review fraud detection, hotel/offer recommendations, customer segmentation, hotel list ranking, NLP review information extraction, sentiment analysis etc.
If you are a skilled machine learning engineer, come and help our outstanding team in Munich, DE, in Bottighofen, CH, in Poznan, PL.
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
ABOUT US
Do you want to be part of the next generation of holidays? In a constant changing environment, HolidayCheck wants to be there when the Urlaubers look again for their greatest time of the year. We want to bring them back to the beach!
At the heart of our corporate culture are our values. We live by them every day! They have helped us create an environment of continuous personal growth and trust, where HolidayCheckers can work autonomously and with a lot of flexibility, in small, self-organised teams. We improve ourselves daily, listen carefully to our customers and deliver working software to them frequently.
Do you also share our values and are you ready for the journey with HolidayCheck? Then become part of our team
Responsibilities:
- 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 objective
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
81673 München, Germany