11 machine learning engineer jobs found

thinkGROUP is a successful systems integrator group that constantly strives for innovation and places great emphasis on the continuous optimization of our internal processes. The use of state-of-the-art technologies is not an end in itself, but rather an expression of our innovative spirit and our commitment to customer focus. Excellent IT service requires optimal systems. Our motivated team gives its best every day to continually exceed our customers' expectations. We are looking for you to join our Cloud Computing & AI team as soon as possible at our   Nuremberg   location . Become part of think about IT and support us as a   Senior Microsoft AI & Copilot Engineer (m/f/d). The work can also be carried out at our branches in   Hamburg, Münster, Berlin, Mainz   or   Bochum   . Tasks Conceptualization, development and implementation of intelligent AI solutions based on Microsoft Copilot, Azure AI and sovereign AI technologies for the productive and...

Vattenfall is a European energy company with approximately 21 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. Business Area IT We design and build the digital backbone that moves Vattenfall forward — from modern infrastructure to large-scale digital transformation initiatives. We connect people, processes and technology while enabling automation, innovation and an intuitive user experience. By doing so, we create a smart and connected organisation that is ready for tomorrow's energy transition. Job Description Do you enjoy creating secure, scalable cloud environments that enable innovation at enterprise scale? As a   DevOps Cloud Engineer (Azure &...

BERLIN, MUNICH Tasks As a Senior Consultant Data Engineer (m/f/d), you will support our team in developing modern   data solutions   ,   data products   ,   AI-ready data platforms   and data-based AI solutions, as well as optimizing our customers' data usage. In this role, you will design scalable and efficient data architectures, integrate modern   data engineering and AI technologies   into existing system landscapes, and take responsibility for complex data projects to sustainably strengthen data-driven decisions. Support in the   design   and   implementation   of robust and scalable   data products, data architectures, data platforms   and   AI-ready pipelines Development and maintenance of   pipelines   for   data transformation   , data integration, and data provisioning for analytics, machine learning, GenAI, and reporting use cases from various sources using technologies such as   SQL, Python, dbt, Snowflake, Databricks,...

BERLIN, MUNICH, HYBRID, HAMBURG Tasks As an   AI Engineer   , you will play a key role in the development and implementation of innovative AI solutions. You will combine in-depth technical knowledge with consulting expertise and guide demanding projects from conception to productive implementation.   You will work on modern AI platforms and agent-based systems for leading companies, bringing innovative technologies into productive enterprise environments   . Design modern AI and GenAI architectures   that create real added value – from RAG pipelines to the integration and orchestration of Large Language Models,   AI agent systems, and NLP and computer vision applications. Advise our clients on developing their AI and GenAI strategies   , provide recommendations on best practices, and support the implementation of   MLOps/LLMOps and AI governance structures. Develop scalable and secure AI applications   by working closely with cloud and...

We Want You to Grow With Us Data tells stories, and this role is responsible for turning those stories into decisions. As our Data Scientist & ML Engineer, you will develop the predictive, prescriptive, and optimization models that give Intersnack the analytical foresight to actly across procurement, manufacturing, and confident sales. You will report into the AI ​​Programs and work alongside AI engineers and data engineers to integrate your models into the knowledge and agentic AI frameworks being built across the organization, combining classical machine learning rigor with the emerging capabilities of large language models and intelligent agents. Intersnack is committed to growing its people as it grows its capabilities, and this role offers a unique vantage point from which to shape how AI reasoning is embedded into a global business. What We Can Offer You will have the opportunity to work across a wide and commercially meaningful range of modeling challenges,...

We Want You to Grow With Us High-quality, reliable data is the foundation on which every AI use case is built, and this role is responsible for making that foundation unshakeable. As our Data Engineer for AI Pipelines & DataOps, you will design and deliver the ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale. You will report into the AI ​​Program and work in close collaboration with AI engineers, data architects, and business teams, with a particular focus on manufacturing environments, where edge device data presents unique ingestion challenges. At Intersnack, we build on a solid digital foundation, and your engineering work will be central to extending that foundation into the AI ​​era. What We Can Offer This role offers the opportunity to work across a genuinely diverse data landscape, from manufacturing edge devices and IoT sensors to structured enterprise data...

We   , group.one   , support our customers internationally through our various brands with over 1,800 motivated employees in different areas to be successful online. Whether with domains, websites, cloud servers, digital marketing support, or through a Software as a Service (SaaS) approach, we help our clients develop their online presence. Working closely with agencies, managed service providers, and other service providers, we also support reselling, leveraging our decades of experience. Our key to success: diverse personalities and a common goal in a great international team. Join group.one   as a   Marketing Data Engineer (m/f/d)   . Your tasks Do you combine data engineering with analytical thinking and feel at home in the world of marketing automation?   Then you've come to the right place. You ensure that data is transformed into relevant customer communication. From data models and integrations to a central customer view, you create the...

Location Berlin Employment Type Full time Location Type On-site Department IT Your role We are looking for an experienced   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 organisation. 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 Engineers,...

Job Title Senior Data Scientist - Advertising division As part of Amadeus Hospitality, the main objective of the   Advertising division   is to   drive demand   and   boost client market shares   by advertising their products in all the possible mediums and channels (web searches, web, social, GDS, mobile). Our customers are hotels who aim to attract more guests, cities or regions who want to attract more visitors as well as airlines who strive to attract more travelers. Over the years, Amadeus has built a leading data-driven travel advertising platform complemented by strategic partnerships with advertising giants (Google, Facebook, Microsoft, … to name a few), that can reach   billions of travelers   globally every day. As our business continues to grow rapidly, we are looking for curious, driven, and innovative individuals who want to solve complex problems and help shape the future of travel advertising. Every day, our machine...

Multiple locations Hybrid Job Description Between AI potential and real transformation, there is usually just one person. Maybe it's you. Everyone talks about Artificial Intelligence. Very few organizations actually turn it into measurable business impact. At Etteplan, AI is not an experiment. It is part of our strategy. Our AI facilitator pilot showed something more useful than a business case: real demand from our teams, and the first working use cases in daily work. What we don't have yet is scale. Now we are looking for the person who will take that success to the next level. As   AI Adoption & Automation Lead   , you will drive AI adoption across our organization, identify automation opportunities that create real value, and help shape the framework for sustainable and responsible AI usage. Your scope is Business Unit Smart Factory Germany: around 200 engineers and specialists across five regions, serving customers in chemicals,...

Dortmund from now on Job ID: 8188 | Contract type: permanent Data Scientist YOUR TASKS: Development, training and evaluation of machine learning models, e.g. for regression, classification, time series forecasting and anomaly detection, as well as models for image and video analysis. Analysis, processing and quality assurance of large, heterogeneous datasets (e.g. sensor, image, and operational data) Feature engineering, selection of suitable modeling approaches and hyperparameters taking into account functional requirements, technical framework conditions and operational restrictions. Implementation of ML models in robust, production-like code structures Close collaboration with the specialist departments to translate technical questions into data-driven use cases and model approaches. Documentation of models, data assumptions, results and limitations to ensure traceability, governance requirements and maintainability. Support in...