Machine Learning Engineer

About the job About The Company Data-Talent GmbH partners with leading organizations across Europe to connect top-tier professionals with innovative companies in the technology sector. Our client is a prominent player in the omnichannel and e-commerce landscape, renowned for their commitment to leveraging cutting-edge data solutions to enhance customer experiences and operational efficiency. With a workforce of approximately 1,200 employees, the company serves over 1.7 million active customers and achieved a revenue of around 800 million euros in the last fiscal year. Their focus on innovation, data-driven strategies, and sustainable growth positions them as a leader in their industry, offering a dynamic environment for talented professionals seeking impactful roles in data engineering and machine learning. About The Role We are seeking an experienced Machine Learning Engineer / Data Engineer with a focus on ML Operations (ML Ops) to join our client’s Data Engineering team in Munich. This is a full-time, permanent position requiring presence in the office two days per week. As a key member of the team, you will be responsible for developing and implementing scalable machine learning solutions, building robust data platforms, and automating ML workflows. Your role will involve end-to-end ownership of ML and ML-Ops initiatives within Data Engineering and Business Intelligence domains, contributing directly to the company's data-driven strategy. You will work in a collaborative environment, engaging with Data Science and BI teams to deliver predictive analytics, self-service BI solutions, and innovative data products. This position offers significant creative freedom, exposure to large datasets, and the opportunity to shape the future of data infrastructure and AI applications within the organization. Qualifications The ideal candidate will possess proven experience in developing and deploying scalable ML pipelines and a strong understanding of MLOps principles. Advanced programming skills in Python and SQL are essential, along with practical knowledge of cloud platforms, especially AWS and Snowflake. Familiarity with Snowflake ML, PySpark, dbt, and ELT frameworks for data pipeline development is required. Candidates should have experience with batch and streaming data processing, data warehouses, and data lakes. Hands-on experience with CI/CD tools like GitLab, as well as knowledge of data security and privacy regulations, is important. Experience with Generative AI and Retrieval-Augmented Generation (RAG) techniques is highly desirable. Candidates must be fluent in both English and German, demonstrate a growth mindset, and possess excellent collaboration and communication skills. Responsibilities Contribute to the company's data-driven strategy by designing and deploying scalable ML and AI solutions. Develop, implement, and optimize modern data and AI platforms utilizing AWS and Snowflake cloud technologies. Architect and maintain robust data pipelines, including batch and streaming ELT workflows, ensuring high performance and reliability. Build, scale, and manage ML/AI applications on cloud infrastructure, ensuring their stability and efficiency. Automate ML processes such as pipeline automation, model deployment, and serving (MLOps), to streamline workflows and reduce manual intervention. Collaborate closely with Data Science and Business Intelligence teams to deliver self-service analytics, predictive models, and machine learning solutions that meet business needs. Continuously improve platform stability, performance, and automation capabilities, incorporating new tools and best practices. Develop and maintain data pipelines using tools like PySpark, dbt, and other relevant frameworks. Ensure data security and compliance with privacy regulations across all data engineering activities. Stay updated with the latest trends in AI, ML, and cloud technologies, sharing knowledge and fostering a culture of continuous learning within the team. Benefits 30 days of paid vacation annually to promote work-life balance. Flexible working hours and the option for remote work up to 50% of the week. Comprehensive occupational disability insurance and company pension scheme. Financial support for childcare, including childcare allowances. Subsidized company cafeteria providing healthy meals and snacks. Monthly allowance of 50 EUR/net via Spendit for personal expenses. Access to in-house wellness programs, including weekly yoga and massage sessions. Opportunities for professional development and continuous learning in a supportive environment. Equal Opportunity Data-Talent GmbH and our client are committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities regardless of race, gender, age, religion, sexual orientation, or disability. We believe that diverse teams drive innovation and excellence, and we actively encourage applications from all qualified individuals to join our team and contribute to our shared success. Desired Skills and Experience Machine Learning, Data Engineering, MLOps, Cloud Computing, Data Pipelines, Data Warehousing