7 devops jobs found in Berlin

Home office option Permanent position Full-time Berlin Permanent position (32-40 hours) N3XTCODER, Berlin / Remote option Are you a data scientist with a sharp analytical mind and a passion for developing creative solutions? Are you ready to work independently and lead projects to outstanding results? Then join our team and use your skills and experience for a good cause: analyze concepts, translate ideas into practice, and make them tangible for our partners. Become part of a network of professionals who leverage digital technology for social innovation. At N3XTCODER, you'll have the opportunity to work on impactful projects with a diverse and highly skilled team. We don't accept the status quo: Our team develops apps, websites, and platforms with NGOs, government institutions, and organizations working on solutions that have a social impact – inspired by the 17 Sustainable Development Goals (SDGs) defined by the...

Full job description BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud...

About the company Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and...

BERLIN, DÜSSELDORF, HAMBURG, COLOGNE, HYBRID, MUNICH Tasks Developing new ideas   to optimize and revolutionize work processes at our customers' sites. Implementation of customer-specific use cases   throughout the entire AI lifecycle. Identifying patterns and trends   while simultaneously translating technical results into   actionable recommendations   and   presenting   the results to the relevant department and management. Close collaboration   with data engineers and other stakeholders to build ETL pipelines, conduct A/B tests, and integrate models into production systems. Participation   in exciting projects across various industries (large companies and medium-sized businesses in the areas of banking, insurance, automotive, retail, etc.) Expand   your   professional   skills through   interdisciplinary   collaboration and targeted training in the areas of data engineering, cloud architecture and data science (individually...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks As a Junior Agentic Engineer (m/f/d), you will develop and implement agent-based functions in our Delivery Squads. Working alongside experienced developers, you will contribute to modern AI solutions in real-world customer projects and support the implementation of intelligent, LLM-based systems. Implementation of components for agent-based systems   , e.g., tools, prompts, retrieval pipelines, and API integrations. Development of tests, evaluations and observability components for   LLM-based functions Contributing to code reviews   , architecture discussions, and customer demos Support for   proof-of-concepts   and   prototypes   for agent-based AI use cases Collaboration with experienced engineering teams   in the implementation of modern AI and cloud solutions. Continuous   development   in the field of Generative AI, Agentic Systems and modern software development...

BERLIN, MUNICH, HYBRID Tasks Designing, developing, and operating   AI and Generative AI solutions   on cloud (AWS/Azure) or on-premises Development and integration of   data platforms and pipelines   (e.g., Snowflake, Databricks) Developing   scalable, production-ready applications   with Python Working with   LLMs   and   OpenAI platforms/APIs   in real-world customer scenarios Translating   business requirements into robust technical solutions Contributing to   solution design, technical workshops, and customer meetings Remain flexible and open to different   technology stacks and architectures. Benefits EXPERT NETWORK HYBRID WORKING PAID CERTIFICATIONS FLAT HIERARCHIES Exciting projects focusing on   AI, Generative AI, data, and cloud-native architectures Access to the   Reply Group Communities   for AI, Data and Cloud Continuous development through   certifications...

BERLIN Tasks As a Data Scientist (m/f/d), you will develop   data-driven solutions for a wide range of business challenges   and support our clients in deriving informed decisions from complex data. You will combine statistical modeling, machine learning, and modern AI approaches to develop innovative solutions from data analysis to production implementation. Development and implementation of data science solutions   for various business issues, e.g., sales prediction, media mix optimization, impact analyses, geo-analyses, or NLP-based applications for sentiment analysis. Analysis and processing of complex data sets   from structured, unstructured and geographic data sources to identify relevant customer and business insights. Development, optimization and implementation of statistical models   , machine learning methods and AI-based solutions for various use cases Creation of reports, dashboards   and data-based decision-making tools, as...