PAt Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable our customers to strongoperationalize, scale, and continuously deliver data and AI products beyond the pilot and prototype stages /strong. These patterns and frameworks revolve not only around the latest technologies but also consider role, skills, and process adjustments. We thereby: /p ul liHelp our customers realize the full potential of data and AI solutions, from use case identification, over data, and ML platform implementation to integration and testing operation of ML models, LLMs, and other GenAI solutions. /li liDesign, test, integrate and operate data, model and code pipelines, and end-to-end data/ML/LLM systems (DataOps, MLOps DevOps). /li liEnable technical and non-technical teams and individuals to leverage data science and management, data, ML, and reliability engineering in an end-to-end fashion. /li /ul h2Aufgaben /h2 pDo you want to contribute to our dynamic and growing services company with your Machine Learning, AI, and Software Engineering knowledge? Do you want to act as a thought leader and trusted advisor in the field of strongData Products and Data Mesh /strong? /p pWe are looking for a German-speaking strongSenior Data Engineering Consultant /strong who will be involved in the whole lifecycle of projects, both internally and externally: /p ul listrongConsulting, Engineering Training /strong: You perceive data, software, and AI engineering as key capabilities for mastering the challenges of our clients' digital transformations, want to help them understand both their potential and their limitations, and deliver impactful, valuable services. /li listrongRequirement Analysis /strong: You analyze customer requirements and identify and define best-fit solutions. /li listrongImplementation of Data Pipelines and Platforms, ML/LLM Integrations, Reliability Engineering Operationalization /strong: You understand how to successfully deliver data projects from the prototype or pilot phase into production, design, build, integrate and test data pipelines and platforms, and implement engineering best practices such as traceability, reliability, scalability, measurability, and automation within a demanding project and technology environment. /li listrongConcept Development /strong: You contribute to our solution blueprints and concepts (e.g., our journey for ‘strongemReliable Data Products Efficient Data Meshes’ /em /strong). /li listrongExpertise Thought Leadership /strong: You strive to become an expert and a trusted advisor in the field of emData Platforms, Data Products, and DataOps /em /li listrongOwnership, Communication, Knowledge Sharing Teamwork: /strong You take ownership of your work, present your results to various stakeholders, share your knowledge, and collaborate (pro-)actively with our and your client’s teams. /li /ul h2Qualifikation /h2 ul li pProfessional experience (minimum 5 years) as a Data or Software Engineer with a focus on data and ML systems. /p /li li pExperience with and, ideally certified in major data and AI platforms (e.g. Snowflake, Databricks, AWS, Azure, MS Fabric). /p /li li pFamiliarity with data analytics and DataOps best practices, as well as topics such as Data Mesh, Data Lake/Warehouses, and Reliability Engineering. /p /li li pUnderstanding and strong interest in the end-to-end life cycle of projects, code, model, and data pipelines, and working with various stakeholders. /p /li li pTechnical, hands-on experience with at least some of the following: /p /li li pProgramming languages /p /li li pDistributed systems (Hadoop, Spark) and data structures. /p /li li pSQL and NoSQL databases. /p /li li pCloud Services. /p /li li pREST API and microservices. /p /li li pDocker and knowledge of Kubernetes. /p /li li pAgile development methods and CI/CD. /p /li li pExperience working in a client-facing or consulting role. /p /li li pFluency in German and English (written and spoken). /p /li li pSwiss passport or a valid EU/EFTA work permit. /p /li /ul h2Benefits /h2 ul liA young and dynamic services company with an experienced, knowledgeable, and passionate team. /li liAn entrepreneurial environment and the chance to have a real impact on the company’s development and growth. /li liWork on cutting-edge data, AI, and analytics topics that have a real impact across industries. /li liA culture that is both performance-oriented and customer-driven and at the same time team-oriented, friendly, and supportive, incl. regular knowledge-sharing sessions and team events /li liA hybrid working model with flexibility as long as both client (of which most require onsite presence) and internal commitments (i.e., one team office day per week) are met. /li /ulbrpAt strongMachine Learning Architects Basel (MLAB) /strong, we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our em‘MLOps journey’ /em and strongem'Digital Highway' /em /strong approach enable our customers to strongoperationalize, scale, and continuously deliver data and AI solutions beyond the pilot and prototype stages /strong. /p pAs part of the strongSwiss Digital Network (SDN) /strong, we are experienced in developing and managing highly reliable software, infrastructure, and transformation projects. This agile consulting network allows us to collaborate with IT architects, engineers, innovation, quality assurance, and culture experts. /p