(Senior) Machine Learning Engineer (fmd)

Munich - Germany

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Do you have a passion for developing complex intelligent data-driven systems and cloud solutions Do you want to work on challenging projects and with the latest technologies Do you want to find ideal solutions together with great colleagues We are looking for an experienced and enthusiastic (Senior) Machine Learning Engineer to strengthen our team.

Become part of our fast-growing company and support us with motivation joy and passion to share our innovative and high-quality products in the areas of Pricing Data Analytics and e-Commerce with our customers.

Tasks

As a ML Engineer you will be responsible for handling and evolving our machine learning pipeline and will help to develop innovative data-driven applications for the tourism industry. You will work on our machine learning models and continuously expand and improve the foundation for our machine learning applications contributing significantly to the success of Pricenow.

You will lead the integration optimization and orchestration of machine learning models to enhance forecasting capabilities in various applications particularly dynamic pricing
You shape the structure and schema of our machine learning landscape and are responsible for evolving the architecture of our end-to-end pipelines with a strong focus on automation reproducibility and scalability
You are heavily involved in the decision-making process of our data-driven visions

Requirements

Professional experience as a ML engineer (at least 3 years)
University degree in computer science data science mathematics or similar field
Comprehensive understanding and confident handling of end-to-end machine learning processes as well as software engineering capabilities to build and maintain machine learning pipelines in Python
Strong analytical and statistical skills to understand and justify model choices and optimizations
Experience with CI/CD and Cloud Computing
Deep understanding of ML Ops principles and tools for automating the machine learning lifecycle
Experience with experiment tracking model serving and inference pipelines
Preferable: Experience in time-series forecasting reinforcement learning recommender systems
Preferable: Experience with Orchestrator Tools (e.g. Argo) as well as Data Warehousing
Ability to effectively prioritize and manage multiple projects in multidisciplinary multi-country and multi-cultural working environments
You are a team player who is passionate about innovation and agility as well as working in a self-organized manner from the idea to successful implementation
You are fluent in English German is an advantage

Benefits

Real-world impact No project is ever the same
We work with international top brands in the tourism industry providing unique learning and development opportunities
Choose your office: work either in the co-working space or use the flexible home office option
Help shape a company: Become part of a fast-growing company and play a decisive role in shaping the development process
Your personal development: Short decision-making processes and flat hierarchies offer you optimal opportunities to develop yourself
Our industries are the passion of our team: Experience regular team events in great ski resorts adventurous outdoor locations or after-work get-togethers

Pricenow is a fast-growing independent SaaS start-up with a broad range of services consisting of consulting services and software applications in the areas of e-Commerce Pricing and Data Analytics.

With a lot of passion and motivation our interdisciplinary team paves new ways for professional players to develop in the leisure and tourism industry.
Become part of our team and shape the digital transformation in tourism with us. We look forward to receiving your application!

Climbing new Peaks Together.

Tasks

You will lead the integration optimization and orchestration of machine learning models to enhance forecasting capabilities in various applications particularly dynamic pricing
You shape the structure and schema of our machine learning landscape and are responsible for evolving the architecture of our end-to-end pipelines with a strong focus on automation reproducibility and scalability
You are heavily involved in the decision-making process of our data-driven visions

Requirements

Professional experience as a ML engineer (at least 3 years)
University degree in computer science data science mathematics or similar field
Comprehensive understanding and confident handling of end-to-end machine learning processes as well as software engineering capabilities to build and maintain machine learning pipelines in Python
Strong analytical and statistical skills to understand and justify model choices and optimizations
Experience with CI/CD and Cloud Computing
Deep understanding of ML Ops principles and tools for automating the machine learning lifecycle
Experience with experiment tracking model serving and inference pipelines
Preferable: Experience in time-series forecasting reinforcement learning recommender systems
Preferable: Experience with Orchestrator Tools (e.g. Argo) as well as Data Warehousing
Ability to effectively prioritize and manage multiple projects in multidisciplinary multi-country and multi-cultural working environments
You are a team player who is passionate about innovation and agility as well as working in a self-organized manner from the idea to successful implementation
You are fluent in English German is an advantage

Benefits

Real-world impact No project is ever the same
We work with international top brands in the tourism industry providing unique learning and development opportunities
Choose your office: work either in the co-working space or use the flexible home office option
Help shape a company: Become part of a fast-growing company and play a decisive role in shaping the development process
Your personal development: Short decision-making processes and flat hierarchies offer you optimal opportunities to develop yourself
Our industries are the passion of our team: Experience regular team events in great ski resorts adventurous outdoor locations or after-work get-togethers

Pricenow is a fast-growing independent SaaS start-up with a broad range of services consisting of consulting services and software applications in the areas of e-Commerce Pricing and Data Analytics.

Climbing new Peaks Together.