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(Senior) Cloud Engineer (m/f/d)

Machine Learning Reply
Polandfull_timeVerifiedPosted 5 Nov 2024

About the role

<p>At <strong>Machine Learning Reply Poland </strong>we strive to work on <strong>leading-edge data science projects</strong> with our clients for which we are seeking Cloud Engineer consultants with a strong technical background. </p> <p>Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organizational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners. </p> <p>We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms. </p> <p>We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimize already existing processes and products while simultaneously adapting to cloud technologies.</p> <p><br/></p> <p><strong>Job Responsibilities:</strong></p> <ul><li>Define solution architectures using cloud technologies and discuss them with the client. </li><li>Combine expertise in data pipelines and machine learning with innovative thinking to deliver excellent client work. </li><li>Work together with Data Scientists and Data Engineers to develop pipelines for the implementation of fully-fledeged MLOps Pipelines. </li><li>Help the customer with important decisions as a Senior Consultant. </li><li>Draft Cloud adoption strategies for customers in all maturity levels. </li><li>Support the customer in operating the solution in a professional way. </li><li>Stay on top of emerging technologies, and partner with market-leading technology organizations to understand and leverage their products. </li><li>Take advantage of our team, learning resources, hackathons, and other sources to drive your technical development and be present in the machine learning community. </li></ul> <p><strong>Why us?</strong></p> <ul><li>Work in a great multicultural team on interesting projects with new technologies. </li><li>Join a network of data science and cloud experts and enthusiasts from our sister companies. </li><li>Dedicated training days for your professional growth.</li><li>Bonuses are focused on personal growth (e.g. trainings) or sharing knowledge with the team and are mutually agreed with your Manager.</li><li>We have several team-building events throughout the year (Knowledge Shares, Reply XChange, Summer &amp; Winter workshop, Hackathons, Webinars, Brown Bag sessions etc.) </li><li>Free German Lessons. </li><li>Easy to get involved on topics of running a consulting business: HR, Sales, Marketing, Project Staffing. </li><li>Buddy Program: You will get a Buddy to help you get started.</li></ul> <h3>Requirements</h3> <ul><li>You have at least 2 years of work experience in industry or consulting and developed systems that are in production.</li><li>Experience with Cloud Technologies, such as AWS, Azure or GCP.</li><li>Experience working with DevOps: CI/CD Pipelines, Git and technologies such as Gitlab, Jenkins, Travis CI, etc. </li><li>Experience with Infrastructure-as-Code (IaC): AWS CloudFormation, Terraform or Ansible. </li><li>Experience developing code in Java or Python; object oriented design, and good coding standards. </li><li>Experience in designing cloud architectures including networking, microservices, user and permission management, etc. </li><li>Experience with container technologies, such as K8s, Docker, etc.</li><li>Knowledge of databases SQL, NoSQL and distributed systems.</li><li>A good understanding of Data Science is a plus.</li><li>High level of customer orientation and excellent communication skills. </li><li>Willingness to travel.</li><li>Fluency in English and German would be beneficial. </li><li>Proactive mindset and constant willingness to learn. </li><li>You hold a Bachelor’s and/or Master’s degree in informatics, business informatics, mathematics, statistics or equivalent field of study.</li></ul>

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Machine Learning Reply

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