14 ai engineer jobs found in Berlin

Clariness is looking for an AI Engineer (f/m/d/) based in Germany. - Full time; unlimited - About the role: This role is about turning AI and machine learning ideas into reliable, scalable solutions for Clariness' platforms. You will join a collaborative technical environment and work across the AI/ML lifecycle, from understanding a business problem and developing a solution to deployment, monitoring and continuous improvement within the regulated clinical-trial space. As an AI Engineer, you would be responsible for: Designing, building and operating production AI and machine learning solutions, including data pipelines, models and inference services. Developing LLM-powered features using approaches such as retrieval-augmented generation (RAG), agent workflows, tool calling and structured outputs, with a focus on reliability, measurable quality and cost efficiency. Delivering end-to-end machine learning workflows on Databricks, from data preparation and...

BERLIN, DÜSSELDORF, GÜTERSLOH, HANNOVER, MUNICH Tasks AI systems are only as intelligent as the data and relationships they can understand.   As a Junior Graph AI Engineer (m/f/d), you'll work on the next generation of intelligent applications: You'll combine   knowledge graphs, machine learning, and large language models   to not only search company data but also make relationships visible and usable. Support in the   development   of   graph-based AI solutions   and modern applications around GraphRAG and LLMs Contributing to the   development   and   enhancement   of   knowledge graphs   and   data models. Development and optimization   of technical components   and   data pipelines with Python Conducting   initial analyses   and   experiments   in the field of machine learning and graph technologies Support in preparing   workshops   ,   demos   and   presentations   for internal teams and customers. Collaboration...

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 customizable)...

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, 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...

Location Berlin Employment Type Full time Location Type On-site Department IT Your role We are looking for an experienced   (Senior) AI/ML Engineer   to join our   Central Data Platform   team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organization. In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one. This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data...

Welcome! Super excited you dropped by Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. (Find out more insights about Hack The Box culture in our career site). ✨The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP — building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organization. You'll work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products. Your day-to-day will include designing ELT/ETL processes on BigQuery and ClickHouse, building real-time pipelines on Pub/Sub and Kafka with Dataflow (and where it fits, Flink/Spark), orchestrating workflows with Airflow, and ensuring data is properly cleaned, modeled, and served for analytics, ML training, and online inference....

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...

Ultra Tendency is a global Data & AI consultancy with teams across Europe, Asia, and the Americas. As we continue to expand our presence across Europe, we are looking for a   Senior Data Engineer – Databricks   to join our growing team and contribute to the development of scalable data platforms for international clients. In this role, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies. We offer a competitive compensation package aligned with German market standards, based on experience, location, and qualifications. Your Responsibilities Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases....

Location Berlin Employment Type Full time Location Type Hybrid Department Technology and InnovationInfotainment and Connectivity About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary The Berlin team is looking for a Software Engineer - Connected Vehicle Platform, to design, build, and operate software connecting vehicle systems with infotainment,...

BERLIN, MUNICH, HYBRID Tasks Our international team develops customized end-to-end solutions using machine learning for our clients. Our projects cover the entire lifecycle, from initial strategy consulting to implementation. If you're as passionate about programming as we are and want to bring your ideas to life, then join us! As a Machine Learning Engineer, you will support our customers in the   setup, maintenance, and operation   of data-intensive   cloud-based solutions   with one of the major cloud providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform. With your knowledge of   programming languages,   you deliver the right solutions for our customers in the field of machine learning. This also involves using   big data technologies   (e.g., Apache Spark or Hadoop),   databases   , and   batch or real-time data integration   (e.g., Kafka or RabbitMQ). You use   CI/CD and DevOps paradigms   to develop,...

BERLIN, MUNICH Tasks As a Consultant Data Engineer (m/f/d), you will actively shape the data-driven future of our clients. You will develop modern data solutions and innovative data products, as well as AI-ready data platforms that help companies make informed and sustainable decisions. Your responsibilities will include, but are not limited to, the following: Support in the design and implementation of robust and scalable data products, data architectures and AI-ready data platforms. You will develop and optimize data pipelines for the integration and transformation of diverse data sources – using modern technologies such as SQL, Python, dbt, Snowflake, Databricks and leading cloud platforms (AWS, Azure, Google Cloud). You will work closely with our customers, analyze professional and technical requirements and translate these into tailor-made data engineering solutions with real added value. Providing and structuring high-quality data for...

BERLIN, MUNICH, HYBRID Tasks As a Junior GenAI Engineer (m/f/d), you will support the development and implementation of generative AI models, (multi-)agent-based LLM applications, and AI-powered solutions for customer-specific requirements. You will work closely with experienced colleagues and learn to apply modern GenAI technologies in real-world projects. You will contribute to the   development and maintenance of AI pipelines, APIs, and interactive applications   , and gain practical experience with technologies such as Large Language Models, multimodal models, knowledge graphs, and AI-powered products. Together with the team,   you   will analyze   business applications   for generative AI and   support   the   implementation of technical solutions. You work with   various technology stacks   , such as Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks and cloud infrastructure, and continuously develop your...

Smarketer Group, Business Intelligence Berlin Full-time Professional, Senior September 9, 2026 Do you want to develop modern data solutions and actively shape the future of data engineering with autonomous AI agents? Then you've come to the right place. Your mission As a Full Stack Data Scientist Expert, you develop and optimize scalable data pipelines, data platforms and agentic workflows along the entire data engineering lifecycle. Your goal: To create reliable, secure and reusable data solutions that drive our automation and enable data-driven decisions. Your daily business: Identification of suitable data engineering tasks for autonomous agents, as well as definition of clear requirements, guardrails, and quality criteria. Development of agent-based workflows for pipeline creation, testing, monitoring, documentation, and data quality checks. Design, implementation and optimization of scalable ETL and ELT pipelines as well as...