Technology, Information and Internet

Pricenow

11-50

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<p>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 <strong>(Senior) Machine Learning Engineer</strong> to strengthen our team.</p>
<p>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.</p>
<h2>Tasks</h2>
<p>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.</p>
<ul>
<li>You will <strong>lead the integration, optimization, and orchestration of machine learning models</strong> to enhance forecasting capabilities in various applications, particularly dynamic pricing</li>
<li>You <strong>shape the structure and schema of our machine learning landscape</strong> and are responsible for evolving the architecture of our end-to-end pipelines, with a strong focus on automation, reproducibility, and scalability</li>
<li>You are <strong>heavily involved in the decision-making process of our data-driven visions</strong></li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Professional experience as a ML engineer (at least 3 years)</li>
<li>University degree in computer science, data science, mathematics, or similar field</li>
<li>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</li>
<li>Strong analytical and statistical skills to understand and justify model choices and optimizations</li>
<li>Experience with CI/CD and Cloud Computing</li>
<li>Deep understanding of ML Ops principles and tools for automating the machine learning lifecycle</li>
<li>Experience with experiment tracking, model serving and inference pipelines</li>
<li>Preferable: Experience in time-series forecasting, reinforcement learning, recommender systems</li>
<li>Preferable: Experience with Orchestrator Tools (e.g. Argo), as well as Data Warehousing</li>
<li>Ability to effectively prioritize and manage multiple projects, in multidisciplinary, multi-country and multi-cultural working environments</li>
<li>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</li>
<li>You are fluent in English, German is an advantage</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Real-world impact – No project is ever the same</li>
<li>We work with international top brands in the tourism industry, providing unique learning and development opportunities</li>
<li>Choose your office: work either in the co-working space or use the flexible home office option</li>
<li>Help shape a company: Become part of a fast-growing company and play a decisive role in shaping the development process</li>
<li>Your personal development: Short decision-making processes and flat hierarchies offer you optimal opportunities to develop yourself</li>
<li>Our industries are the passion of our team: Experience regular team events in great ski resorts, adventurous outdoor locations or after-work get-togethers</li>
</ul>
<p>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.</p>
<p>With a lot of passion and motivation, our interdisciplinary team paves new ways for professional players to develop in the leisure and tourism industry.<br>Become part of our team and shape the digital transformation in tourism with us. We look forward to receiving your application!</p>
<p><strong>Climbing new Peaks Together.</strong></p>

(Senior) Machine Learning Engineer (f/m/d)

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