Machine Learning Engineer
Best Job ToolGermany2 days ago
Full-timeRemote FriendlyInformation Technology
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About The Company
Reply Group is a leading provider of innovative digital services and consulting solutions, specializing in helping organizations harness the power of emerging technologies to drive business transformation. With a strong focus on cloud computing, data science, and automation, Reply supports its clients across various industries—including banking, insurance, automotive, and retail—to develop scalable, secure, and efficient digital infrastructures. The company prides itself on fostering a collaborative environment that encourages continuous learning, technological excellence, and the delivery of tailored solutions that meet complex business needs. Through its extensive network and partnerships, Reply remains at the forefront of technological advancements, ensuring its clients benefit from the latest innovations and industry best practices.
About The Role
As a Cloud and Data Solutions Engineer at Reply Group, you will play a pivotal role in designing, implementing, and optimizing cloud-based architectures tailored for data-intensive applications, with a focus on machine learning and artificial intelligence. Your responsibilities will include developing innovative technical approaches for cloud adoption, leveraging platforms such as AWS, Azure, and Google Cloud Platform (GCP), as well as integrating on-premises infrastructures to create seamless hybrid solutions. You will automate repetitive tasks through modern DevOps and MLOps practices, significantly reducing time-to-market for our clients’ projects. Your expertise will help ensure the stability, security, and compliance of machine learning solutions by establishing monitoring, failover, and recovery infrastructures aligned with the latest regulatory standards. Collaboration is key, and you will work closely with clients, enterprise architects, data scientists, and engineers to translate complex business requirements into scalable, production-ready solutions. Your role offers an exciting opportunity to work on cutting-edge projects across various industries, contributing to the digital transformation journeys of prominent organizations.
Qualifications
Reply Group is committed to fostering an inclusive and diverse work environment. We believe that a diverse team enhances innovation and reflects the communities we serve. We welcome applications from individuals of all backgrounds, regardless of gender, ethnicity, age, religion, disability, or sexual orientation. Our hiring practices are based solely on qualifications and merit, and we strive to provide equal opportunities for growth and development to all employees.
Reply Group is a leading provider of innovative digital services and consulting solutions, specializing in helping organizations harness the power of emerging technologies to drive business transformation. With a strong focus on cloud computing, data science, and automation, Reply supports its clients across various industries—including banking, insurance, automotive, and retail—to develop scalable, secure, and efficient digital infrastructures. The company prides itself on fostering a collaborative environment that encourages continuous learning, technological excellence, and the delivery of tailored solutions that meet complex business needs. Through its extensive network and partnerships, Reply remains at the forefront of technological advancements, ensuring its clients benefit from the latest innovations and industry best practices.
About The Role
As a Cloud and Data Solutions Engineer at Reply Group, you will play a pivotal role in designing, implementing, and optimizing cloud-based architectures tailored for data-intensive applications, with a focus on machine learning and artificial intelligence. Your responsibilities will include developing innovative technical approaches for cloud adoption, leveraging platforms such as AWS, Azure, and Google Cloud Platform (GCP), as well as integrating on-premises infrastructures to create seamless hybrid solutions. You will automate repetitive tasks through modern DevOps and MLOps practices, significantly reducing time-to-market for our clients’ projects. Your expertise will help ensure the stability, security, and compliance of machine learning solutions by establishing monitoring, failover, and recovery infrastructures aligned with the latest regulatory standards. Collaboration is key, and you will work closely with clients, enterprise architects, data scientists, and engineers to translate complex business requirements into scalable, production-ready solutions. Your role offers an exciting opportunity to work on cutting-edge projects across various industries, contributing to the digital transformation journeys of prominent organizations.
Qualifications
- Degree in a quantitative or business-related field such as Computer Science, Business Informatics, Data Science, Mathematics, or Business Administration.
- Practical experience with DevOps and MLOps principles, including automation, CI/CD pipelines, and container orchestration.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, GCP, and data platforms like Databricks.
- Knowledge of Kubernetes and experience with programming languages including Python, Java, and Scala.
- Proficiency in SQL and NoSQL database technologies, as well as data lake architectures.
- Understanding of cloud architecture design, operating systems like Unix/Linux, and application deployment environments.
- Excellent communication skills in both German and English, with the ability to present technical concepts convincingly to stakeholders.
- Willingness to travel within Germany as required for client engagements and project deployment.
- Design and develop technical strategies for cloud deployments, focusing on data-intensive applications involving machine learning and artificial intelligence.
- Create, implement, and visualize cloud architectures on AWS, Azure, GCP, or hybrid on-premises infrastructures tailored to client needs.
- Automate routine tasks and workflows using state-of-the-art DevOps and MLOps methodologies to enhance project efficiency and reduce delivery times.
- Establish and maintain monitoring, failover, and disaster recovery infrastructures to ensure high availability and compliance with regulatory standards.
- Engage with clients and stakeholders to understand detailed business requirements and translate them into scalable, production-ready cloud solutions.
- Collaborate with multidisciplinary teams—including data scientists, data engineers, and enterprise architects—to develop data platforms such as data warehouses, lakes, and integrated analytics solutions.
- Stay updated on the latest trends and best practices in cloud computing, machine learning, and data engineering to continuously improve project outcomes.
- Access to continuous learning opportunities through internal and external training, hackathons, and participation in the machine learning community to foster professional growth.
- Involvement in diverse projects across multiple industries, including banking, insurance, automotive, and retail, providing broad exposure and experience.
- Participation in industry-leading collaborations in cloud computing, business intelligence, and AutoML.
- Work in an open, flat organizational structure within the expansive Reply network, promoting knowledge sharing and innovation.
- Modern, award-winning office spaces located in the heart of Munich with excellent transport links.
- Public transportation allowance via Deutschlandticket, supporting sustainable commuting.
- Subsidies for fitness memberships at gyms of your choice, promoting a healthy work-life balance.
- Flexible working arrangements combining client-site, Reply office, and remote work options to suit your lifestyle.
- Support for your academic background, ideally in fields like computer science, business informatics, or related disciplines, with opportunities to develop practical skills in cloud architecture and data engineering.
- Becoming part of a forward-thinking team that values innovation, collaboration, and professional development in the rapidly evolving tech landscape.
Reply Group is committed to fostering an inclusive and diverse work environment. We believe that a diverse team enhances innovation and reflects the communities we serve. We welcome applications from individuals of all backgrounds, regardless of gender, ethnicity, age, religion, disability, or sexual orientation. Our hiring practices are based solely on qualifications and merit, and we strive to provide equal opportunities for growth and development to all employees.
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