28 Jobs für Predictive Analytics Infrastructure Engineer
Stellenangebote Predictive Analytics Infrastructure Engineer Jobs
Neu Job vor 4 Std. bei Jobleads gefunden
• Bochum, Nordrhein- Westfalen
Senior IT Project Lead-Data
Analytics Entity: Daikin Europe HQ Job Category: Information Technology Solutions Location: Oostkamp, West Flanders, BE Job Requisition ID: 2436 IT Center EMEA counts 3 departments: IT [...]
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[...] Planning (PLAN) , IT Development (BUILD) and IT Infrastructure (RUN) . IT Development has 2 competence centres: Madrid and Oostkamp. You will be part of IT Development in Oostkamp. This department consists of 20 internal colleagues strengthened with external consultants and an offshore team. The group is young and dynamic with a good team spirit and open communication. We [. .. ] are prepared to present your area of expertise towards key users and management. For this, you will not only need to follow and explore the future evolutions trends on analytics (predictive/ prescriptive BI, real-time/ embedded analytics in S/ 4HANA) , but also further conceive the Power BI Governance Framework for the years to come. Profile You have a masters degree as economist, engineer, computer scientist or equal. 5+ years of relevant experience in data analytics, architecture or (Power) BI is a strong plus. You have an analytical innovative spirit and interest in the company processes; you strive to an optimal use of data in the company. You are established pragmatically, with a strong [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
Senior Platform Engineer (m/f/d)
• Herzogenaurach, Bayern
Join to apply for the Senior Platform
Engineer (m/f/d) role at adidas. Get AI-powered advice on this job and more exclusive features. Adidas is an equal opportunity employer and we [...]
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[...] are committed to fostering an inclusive workplace. We welcome applications from people of all ages, genders (incl. gender identity) , ethnic and social backgrounds, nationalities, [. .. ] throughout the recruitment process. Purpose Overall Relevance For The Organization The role is responsible for designing and delivering innovative, performant, stable, and secure database services across Public and Private Cloud Infrastructure for applications running Oracle, MSSQL Server, Postgre SQL, My SQL, Dynamo DB, Elasti Cache, etc. The role needs to familiarize with existing Monitoring, Security, HADR solutions and work on enhancing them. The role will initiate and execute POCs across relational and non-relational DBMS and integrate AI-enabled offerings to the Database Platforms [. .. ] software development Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Accepts responsibility for creation of test cases using own in-depth technical analysis of both functional and non-functional specifications (such as reliability, efficiency, usability, maintainability, and portability) . Creates traceability records, from test cases back to requirements. Produces test scripts, materials, and regression test packs to test new [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
• München, Bayern
The Risk Intelligence and Knowledge Systems (RIKS) unit is part of Life Health division, which serves as a regional
analytics centre for Europe, UK and Latin Americas. The department is [...]
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[...] responsible for AI strategy development and execution, biometrics insights and knowledge modelling for more than 40 markets, for 500+ cedents, and 1, 500+ active reinsurance contracts. We strategically invest in scalable, easy-to-use data and knowledge technologies to create [. .. ] team? Are you the next AI business systems champion who changes the game for us? We are looking for a motivated individual to join our team as AI and ML Engineer. You will drive the development, deployment, and industrialization of AI/ ML solutions including generative AI, agentic systems, and predictive models, with a focus on production-ready implementations that deliver tangible business value to our Life Health division. Join our team of industry experts and contribute your AI/ ML expertise to make a significant impact on the life and health reinsurance sector. Your Job Lead the design, development, and operationalization [. .. ] augment decisionmaking across underwriting, medical assessment, and analytics workflows; implement prompt engineering, RAG architectures, and tooluse patterns. Partner with data engineers and architects to design feature stores, data pipelines, and infrastructure supporting realtime and batch AI/ ML workloads at scale. Translate business requirements from pricing, underwriting, medical, and claims teams into productiongrade AI solutions; ensure models are interpretable, auditable, and compliant with regulatory standards. Establish monitoring frameworks for model drift, data quality, and system performance; implement automated alerting and remediation strategies [. .. ]
Job vor 4 Tagen bei Jobleads gefunden
(Senior) AI Engineer (m/w/d)
• München, Bayern
Join to apply for the (Senior) AI
Engineer (m/w/d) role at KI performance Gmb H 4 weeks ago Be among the first 25 applicants AI Engineer (m/f/d) Are you passionate [...]
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[...] about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solutionoriented, and eager [. .. ] cloud technologies on Microsoft Azure. Your Responsibilities Endto End AI Development Build and optimise AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimisation, and NLP. Generative AI Build, integrate and optimise Large Language Models (LLM) , including Textto Speech (TTS) , Speechto Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement scalable [. .. ] platforms/ APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Handson experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerisation with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job vor 6 Tagen bei Jobleads gefunden
AI and ML Engineer-Insurance (m/f/d)
• München, Bayern
The Risk Intelligence and Knowledge Systems (RIKS) unit is part of Life Health division, which serves as a regional
analytics centre for Europe, UK and Latin Americas. The department is [...]
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[...] responsible for AI strategy development and execution, biometrics insights and knowledge modelling for more than 40 markets, for 500+ cedents, and 1, 500+ active reinsurance contracts. We strategically invest in scalable, easytouse data and knowledge technologies to create and operationalise [. .. ] team? Are you the next AI business systems champion who changes the game for us? We are looking for a motivated individual to join our team as AI and ML Engineer. You will drive the development, deployment, and industrialisation of AI/ ML solutions including generative AI, agentic systems, and predictive models, with a focus on productionready implementations that deliver tangible business value to our Life Health division. Join our team of industry experts and contribute your AI/ ML expertise to make a significant impact on the life and health reinsurance sector. Your Job Lead the design, development, and operationalisation of [. .. ] augment decisionmaking across underwriting, medical assessment, and analytics workflows; implement prompt engineering, RAG architectures, and tooluse patterns. Partner with data engineers and architects to design feature stores, data pipelines, and infrastructure supporting realtime and batch AI/ ML workloads at scale. Translate business requirements from pricing, underwriting, medical, and claims teams into productiongrade AI solutions; ensure models are interpretable, auditable, and compliant with regulatory standards. Establish monitoring frameworks for model drift, data quality, and system performance; implement automated alerting and remediation strategies [. .. ]
Job vor 9 Tagen bei Jobleads gefunden
(Senior) AI Engineer (m/w/d)
• Köln, Nordrhein- Westfalen
AI
Engineer (m/f/d) Are you passionate about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solutionoriented, and [...]
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[...] eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at KI [. .. ] translate into tangible business value. Your Responsibilities Endto End AI Development Build and optimize AI models covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimisation, and NLP. Generative AI Build, integrate and optimise Large Language Models (LLM) , including Textto Speech (TTS) and Speechto Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement scalable, [. .. ] AI platforms/ APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Handson experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerisation with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job vor 10 Tagen bei Jobleads gefunden
• Köln, Nordrhein- Westfalen
Become our new ( Senior) AI
Engineer (m/f/d) Are you passionate about AI and cuttingedge technologies? Do you want to help companies leverage AI to create real business impact? [...]
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[...] Are you ambitious, solutionoriented, and eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at KI performance [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Build, integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations [. .. ] platforms/ APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Handson experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies. Awareness of AI regulations Understanding [. .. ]
Job am 24.11.2025 bei Jobleads gefunden
Senior AI Engineer
• Lausanne, Waadt
[. .. ] were revolutionizing how millions of people experience their digital experience. Why Nexthink? At Nexthink, were the pioneers of Digital Employee Experience (DEX) technology. Using a powerful mix [...]
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[...] of real-time analytics, clever automation, and cutting-edge AI and Machine Learning, were helping some of the worlds biggest companies create digital workplaces that delight their employees at work. Think of us as the architects of the future workplace With a truly global presence, our teams innovate across different locations. Headquartered in both [. .. ] real-world challenges and want to be part of an exciting growth journey, you might just be the Nexthinker were looking for Job Description We are seeking a Senior AI Engineer with experience building and operating AI-powered software systems. You will join one of the AI teams and be responsible for prototyping, maturing and shipping AI features to a production-ready level. You will also integrate external AI services (e. g. , LLM providers) into Nexthinks cloud platform. You are [. .. ] problems for our customers. Because the role is cross-functional, the ability to communicate complex concepts in simple ways is essential. You will collaborate with product, design, front-end and infrastructure teams to bring delightful AI features to life. Responsibilities: As part of the AI team at Nexthink, you will: Implement new AI features with high-quality coding standards and automated test coverage Solve the engineering challenges behind data collection, retrieval, evaluation and inference at scale Build and maintain CI/ CD [. .. ] in integrating with LLMs (e. g. Prompting, Evaluation, Observability) Demonstrated success delivering AI-powered features that serve real users at scale (e. g. , retrieval-augmented search, Generative AI assistants, predictive analytics) Fluency in Python or at least one strongly-typed language (Type Script or Java) , with clean-code and testing discipline Solid grasp of cloud-native architectures (AWS or comparable) , containerisation (Docker) and orchestration (Kubernetes/ ECS) Hands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/ [. .. ]
Job am 21.11.2025 bei Jobleads gefunden
• München, Bayern
Homeoffice möglich
[. .. ] passionate about driving innovation in the fields of Io T and AI, and we are looking for like-minded individuals to join our team. Job Description: As a [...]
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[...] Railway Systems Simulation Engineer, youll be at the intersection of railway domain expertise, physics-based modeling, and data-driven innovation. Youll develop and maintain advanced simulation models and digital twins of railway infrastructure that form the foundation for predictive insights and operational excellence. Your work will directly influence how railways are monitored, maintained, and optimized. This role is ideal for an engineer with a passion for the railway domain, who combines a strong foundation in physical modeling with curiosity for real-world validation and collaboration across disciplines. Your Impact: [. .. ] element analysis, or custom numerical modeling frameworks) . Familiarity with data acquisition systems, sensor integration, signal processing, and experimental validation methods. Ability to bridge physics-based modeling with data-driven analytics to deliver scalable insights. Excellent communication skills, with the ability to engage effectively with internal teams and external partners, including customers and regulatory authorities. Why Join Us: Equity (all permanent KONUX employees have equity) Dedicated Learning Development budget of 3.600 p. a. Comprehensive relocation support if this opportunity at [. .. ]
Job am 20.11.2025 bei Jobleads gefunden
Site Reliability Engineer (SRE)
• Zürich
[. .. ] with plans to quadruple digitized assets by 2027. The company empowers carriers, railroads, and shippers to monitor asset location, status, and conditions in real-time, provides forensic analysis, [...]
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[...] and delivers predictive insights using big data and AI analytics to improve efficiency, automation, and sustainability. Headquartered in Zurich, Nexxiot employs staff from over 30 nations and has offices in Germany, Sweden, the UAE, and North America. The company offers specialized solutions across the rail, tank container, and intermodal/ ocean segments, covering assets in over 160 countries. For more information, visit our website. Position: Site Reliability Engineer (SRE) As an SRE at Nexxiot, you will be part of an interdisciplinary agile team responsible for implementing highly available, scalable, compliant, and secure cloud infrastructure. Your work involves designing, testing, deploying, and maintaining cloud solutions in accordance with SRE practices, with a focus on pragmatic tool selection and continuous improvement. Your main areas of accountability include: Enabling Dev Ops teams to deliver secure, compliant, and resilient software quickly. Collaborating with Product Owners and Software Architects. [. .. ]
Job am 19.11.2025 bei Jobleads gefunden
• Berlin
Führungs-/ Leitungspositionen
[. .. ] fastgrowing company focused on developing and operating largescale battery storage systems in Germany. With a focus on innovation and sustainability, our company is driving forward the expansion [...]
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[...] of renewable energy infrastructure in order to make a significant contribution to achieving climate neutrality. Our Mission At Terra One, we accelerate the expansion of renewable energy infrastructure by developing and implementing innovative solutions. Our initial focus is on battery storage, a crucial component for establishing a flexible and environmentally friendly power grid. By [. .. ] scope and have a highly technical team of veteran software engineers, leading AI experts and power trading professionals. About the Role We are looking for an experienced Team Lead Data Engineer to head our data team (currently : 4 engineers) and play a key role in scaling Terra Ones data platform. You will design and implement scalable, efficient data solutions that power our analytics, machine learning models, and trading decisions. This is a handson leadership role that combines technical ownership, architectural direction, and team enablement. Youll work closely with our ML and trading domain leads to ensure data is reliable, timely, and productionready across all systems. Responsibilities Data Architecture Management Design and maintain scalable, [. .. ] and trading teams. Continuously analyze data to identify inconsistencies, anomalies, and optimisation potential. Cross Team Integration Partner with ML and trading teams to deliver reliable datasets and feature pipelines for predictive and decision models. Collaborate on deployment, model feedback loops, and realtime data interfaces. Contribute to the design and scaling of Terra Ones cloudbased data infrastructure. Leadership Strategy Lead and mentor a team of data engineers, fostering a highperformance and learningoriented culture. Define and execute the technical roadmap for the data [. .. ]
Job am 13.11.2025 bei Jobleads gefunden
Railway Systems Simulation Engineer (m/f/x)
• München, Bayern
Homeoffice möglich
[. .. ] are passionate about driving innovation in the fields of Io T and AI, and we are looking for likeminded individuals to join our team. Job Description As [...]
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[...] a Railway Systems Simulation Engineer, youll be at the intersection of railway domain expertise, physicsbased modeling, and datadriven innovation. Youll develop and maintain advanced simulation models and digital twins of railway infrastructure that form the foundation for predictive insights and operational excellence. Your work will directly influence how railways are monitored, maintained, and optimized. This role is ideal for an engineer with a passion for the railway domain, who combines a strong foundation in physical modeling with curiosity for realworld validation and collaboration across disciplines. Your Impact Serve [. .. ] dynamics, finite element analysis, or custom numerical modeling frameworks) . Familiarity with data acquisition systems, sensor integration, signal processing, and experimental validation methods. Ability to bridge physicsbased modeling with datadriven analytics to deliver scalable insights. Excellent communication skills, with the ability to engage effectively with internal teams and external partners, including customers and regulatory authorities. Why Join Us Competitive salary Equity (all permanent KONUX employees have equity) Dedicated Learning Development budget of 3.600 p. a. Comprehensive relocation support if this [. .. ]
Job am 31.10.2025 bei Jobleads gefunden
• Berlin
Führungs-/ Leitungspositionen
[. .. ] Role We are looking for a Data Engineering Lead to manage our clients data team, and play a key role in designing and scaling their data platform-powering [...]
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[...] everything from analytics to realtime trading decisions. This is a handson leadership role, combining architectural vision, team management, and technical delivery to ensure reliable, highquality data for ML and trading systems. Key Responsibilities Design and maintain scalable, costefficient data models, storage, and processing systems (Big Query, Cloud Storage, etc. ) . Communicate with [. .. ] empower analytics, ML, and trading teams. Continuously analyse data to identify inconsistencies, anomalies, and optimisation potential. Partner with ML and trading teams to deliver reliable datasets and feature pipelines for predictive and decision models. Collaborate on deployment, model feedback loops, and realtime data interfaces. Contribute to the design and scaling of the cloudbased data infrastructure. Lead and mentor a team of data engineers, fostering a highperformance and learningoriented culture. Define and execute the technical roadmap for the data platform, aligning with company and product strategy. Oversee daytoday operations, ensuring delivery reliability, cost efficiency, and longterm maintainability. Required Technical Skills Expert in Python (pandas, dask) and [. .. ] Mid Senior level Employment type Full-time Job function Services for Renewable Energy Referrals increase your chances of interviewing at Eagle Search by 2x Get notified about new Senior Data Engineer jobs in Berlin, Germany. #J-18808-Ljbffr 67588367 [. .. ]
Job am 26.10.2025 bei Jobleads gefunden
AI ML Engineer (m/w/d)
• Stuttgart, Baden- Württemberg
Overview Wir bei Olmatic entwickeln intelligente, datenbasierte Lösungen, um die Energiewelt von morgen nachhaltiger, smarter und effizienter zu machen. Als AI Machine Learning
Engineer bist du bei uns der [...]
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[...] kreative Kopf hinter bahnbrechenden Algorithmen, fortschrittlichen Modellen und intelligenten Lösungen, die echten Impact schaffen. Create Smart Solutions: Entwickle KI- und Machine-Learning-Modelle, die Industrieprojekte in der Energiewende revolutionieren von Predictive Analytics bis hin zur intelligenten Prozessautomatisierung. Dive Deep Into Data: Arbeite mit großen Datensätzen, erkenne Muster und entwickle präzise Vorhersagen, um die Performance unserer Kundenprojekte nachhaltig zu optimieren. Build the Future Infrastructure: Erstelle skalierbare Datenpipelines und state-of-the-art Cloud-Architekturen, um nahtlos große Datenmengen zu erfassen, zu analysieren und zu nutzen. Continuous Improvement: Überwache, optimiere und tune deine Modelle kontinuierlich, integriere Feedback und sorge dafür, dass wir immer am Puls der neuesten KI-Trends bleiben. Dein Profil Erfahrung mit modernen [. .. ]
Job am 05.10.2025 bei Jobleads gefunden
• München, Bayern
Join to apply for the (Senior) AI
Engineer role at KI performance Gmb H Are you passionate about AI and cuttingedge technologies? Do you want to help companies leverage [...]
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[...] AI to create real business impact? Are you ambitious, solutionoriented, and eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at [. .. ] cloud technologies on Microsoft Azure. Your Responsibilities Endto End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI Integrate and optimize Large Language Models (LLM) , including Textto Speech (TTS) and Speechto Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement scalable and [. .. ] platforms/ APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Handson experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies, RAG, chunking, vectorizing and Vector DBs. [. .. ]
Job am 05.10.2025 bei Jobleads gefunden
Senior C++ Engineer (m/f/d)
• München, Bayern
[. .. ] Our mission is to bring transparency into the world of marketing attribution and empower businesses with reliable data. To strengthen our tech team, we are looking for [...]
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[...] a passionate C++ Engineer who wants to tackle exciting technical challenges and contribute to building the backbone of our software. Your qualifications Professional experience: 2+ years in modern C++ development (C++17/ C++20) with a focus on performance and multithreading. Technical skills: Solid understanding of Python, data processing, and machine learning basics. Tooling and libraries: [. .. ] directed while collaborating with cross-functional teams. Nice to have: Experience with reinforcement learning, graph-based methods, or computer vision projects. Your responsibilities Extend and optimize our core data pipelines (Analytics Core) with advanced functionality and improved performance. Implement machine learning-based attribution models and custom user matching methods (e. g. , clustering, graph-based approaches) . Integrate new identifiers (e. g. , device/ browser fingerprinting) and additional data sources for comprehensive tracking. Build and maintain unit tests for robust, high-[. .. ] data integrations. Develop inspection tools and documentation to support customer success and technical troubleshooting. Enhance and expand our bot framework (Tracy Bots) with advanced algorithms (e. g. , dynamic bidding, predictive performance models) . Develop new and advanced bots leveraging machine learning (e. g. , reinforcement learning-based bots) . Support the transition from legacy systems to the new Analytics Core infrastructure. Perks of working at Tracify Innovative environment: Work in an agile startup with flat hierarchies and plenty of room for your ideas Impact: Take ownership from day one and directly shape the future of Tracify with your work Team spirit: A motivated and supportive team that values collaboration and open [. .. ]
Job am 27.09.2025 bei Jobleads gefunden
• Zürich
[. .. ] to create a supportive environment where each of us feel appreciated and have a chance to develop professionally. We are looking for candidates to take the role [...]
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[...] of Site Reliability Engineer. This position is a configuration role-from taking business specifications, through designing, then documenting and scripting MQ message flows. A support work is involved once the design is implemented. Major part of the work is oriented on the MQ design itself. Your team: In our agile operating model, crews are [. .. ] joining us, you will have multiple learning opportunities to grow and participate in initiatives focused on your passions. Responsibilities determine the reliability of our digital products, technology services, and the infrastructure that underpins them minimize the risk and impact of failures by engineering operational improvements, such as predictive monitoring, auto scaling or self-healing respond to production incidents to gain first-hand experience of operational hotspots and to identify the root causes of problems collect and analyze operational data, define and monitor key metrics to identify and communicate areas for improvement apply a broad range of engineering practices with a focus on reliability, from instrumentation, performance analysis, and log analytics to automated testing, deployment, and operations ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements SKILLS Must have 10-12 years of experience in a similar position focused on either IBM MQ distributed or mainframe MQ [. .. ]
Job am 16.09.2025 bei Jobleads gefunden
. NET/ Azure Software Engineer
Overview Join our client, a fast-growing electric bike company based in Berlin, as they scale their smart mobility platform. Theyre looking for a skilled. NET/ Azure Software
Engineer to [...]
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[...] help deliver cutting-edge backend solutions that support riders and fleet operators across Germany and beyond. This is your opportunity to make a real-world impact using a modern tech stack. About the Company Our client is redefining sustainable transport by combining precision engineering with powerful software. With thousands of e-bikes in operation, theyre building the infrastructure to support smart routing, battery optimisation, predictive maintenance, and seamless user experiences all powered by cloud-native. NET and Azure services. About the Role As a Software Engineer in the backend team, youll be building scalable, event-driven systems that underpin everything from ride tracking and user onboarding to maintenance automation and fleet analytics. Youll collaborate in a modern agile environment with product owners, analysts, designers and fellow engineers owning the full development lifecycle from architecture to deployment. Responsibilities Build scalable, event-driven backend systems that support ride tracking, user onboarding, maintenance automation and fleet analytics. Collaborate in a modern agile environment with product [. .. ]
Job am 05.07.2025 bei Jobleads gefunden
(Senior) AI Engineer
• Köln, Nordrhein- Westfalen
Join to apply for the (Senior) AI
Engineer role at KI performance Gmb H Join to apply for the (Senior) AI Engineer role at KI performance Gmb H Are [...]
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[...] you passionate about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solution-oriented, and eager to work at [. .. ] technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations. Machine Learning Advanced Analytics Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP. Generative AI-Integrate and optimize Large Language Models (LLM) , including Text-to-Speech (TTS) , Speech-to-Text (STT) . Data Engineering Pipelines Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases. AI Deployment Operations Implement [. .. ] APIs such as Open AI, Gemini, and Anthropic. MLOps production deployment Hands-on experience with MLOps tooling (Azure Dev Ops, Git Hub, Git Lab) and deploying AI solutions in production. AI infrastructure expertise Skilled in designing and deploying AI infrastructure, including containerization with Docker. Broad AI/ ML understanding Strong foundation in NLP, computer vision, and conversational AI (e. g. , Azure Bot Services, Microsoft Copilot) . Experience with AI models Familiar with LLMs, TTS, and STT technologies, RAG, chunking, vectorizing and Vector DBs. [. .. ]
Job vor 3 Tagen bei Neuvoo gefunden
Devoteam
Senior Microsoft Azure AI/ ML Architect (m/w/d)
• Frankfurt, Hessen
[. .. ] the end-to-end architecture for AI/ ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients existing data platforms and [...]
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[...] infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ ML can drive value ( predictive maintenance in manufacturing, drug discovery insights in pharma, or risk modeling in insurance) . Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and [. .. ] Lead knowledge-sharing sessions and training to upskill colleagues, and support the growth of a community of practice around AI/ ML. Qualifikationen Proven Experience: 7+ years of experience in data analytics and software development, with at least 45 years in designing and implementing ML/ AI solutions at scale. A track record of delivering production-grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates ) . Language Skills:fluent in german and english [. .. ] fits in a solution landscape. Certifications: Relevant certifications are a strong plus, demonstrating your expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102) . Certification in machine learning frameworks or platforms ( Databricks Certified Generative AI Engineer Associate ) is also valued. Devoteam supports continuous learning and certification attainment. Education: A Bachelors or Masters degree in Computer Science, Data Science, or related field is preferred (or equivalent professional experience) . [. .. ]
Job vor 3 Tagen bei Neuvoo gefunden
Devoteam
Microsoft Azure AI Engineer (m/w/d)
• Frankfurt, Hessen
[. .. ] including mentoring programs for your perfect start at Devoteam Stellenbeschreibung Build AI/ ML Solutions: Develop and implement AI/ ML models to solve specific business problems. This could [...]
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[...] range from training predictive models (for example, forecasting equipment failures in manufacturing or customer behavior in insurance) to creating NL solutions like document classifiers or chatbots. You will use Azure Machine Learning for experiment tracking and model management, and write code (Python/ SQL) for data processing and model training. Azure Cloud Implementation: Deploy AI solutions on Azure cloud infrastructure. Set up necessary resources such as Azure ML workspaces, Azure Functions or AKS for hosting models, and Azure Data Factory pipelines for data movement. Ensure that the deployment is done following Devoteams and Microsofts guidelines for security and compliance (important for enterprise clients in regulated industries like pharma and finance) [. .. ] sentiment analysis) when appropriate instead of building from scratch. For example, if a project requires extracting text from PDFs and analyzing sentiment, you might use Azure Form Recognizer and Text Analytics as part of the solution before applying a custom model. MLOps Monitoring: Implement the basics of MLOps for the solutions you build. Register models, create release pipelines for deploying them, and set up monitoring (for both system performance and model accuracy drift over time) . Ensure that logging and alerting [. .. ] production (like an API downtime or data drift causing model degradation) can be quickly identified and addressed. Collaboration Documentation: Collaborate within a crossfunctional team, taking guidance from the Senior AI Engineer and Architect while also providing input based on your own expertise. Participate in design discussions, sprint planning, and code reviews. Additionally, document your work (datasets used, model assumptions, API specs) thoroughly to aid maintainability and knowledge transfer within the team and to clients IT teams. Qualifikationen Experience: Approximately 36 years [. .. ]
Job vor 5 Tagen bei Neuvoo gefunden
adidas
Senior Platform Engineer (m/f/d)
• Herzogenaurach, Bavaria
[. .. ] throughout the recruitment process. Purpose Overall Relevance for the Organization: The role is responsible to design and deliver innovative, performant, stable and secure database services across Public [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] and Private Cloud Infrastructure to applications running Oracle, MSSQL Server, Postgre SQL, My SQL, Dynamo DB, Elasti Cache etc. The role needs to get familiarized with the existing Monitoring, Security, HADR solutions and work on enhancing and improvising them. The role is required to initiate and execute POCs across relational and non-relational DBMS. The role would [. .. ] software development Designs, codes, verifies, tests, documents, amends, and refactors complex programs/ scripts and integration software services. Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/ agile) approaches. Applies agreed standards and tools, to achieve well-engineered outcomes. Participates in reviews of own work and leads reviews of colleagues work. System design Designs components using appropriate modelling techniques following agreed architectures, design standards, patterns, and methodology. Identifies and evaluates alternative [. .. ] structures, to evaluate alternative options. Implements physical database designs to support transactional data requirements for performance and availability. Implements data warehouse designs that support demands for business intelligence and data analytics. Testing Accepts responsibility for creation of test cases using own in-depth technical analysis of both functional and non-functional specifications (such as reliability, efficiency, usability, maintainability, and portability) . Creates traceability records, from test cases back to requirements. Produces test scripts, materials, and regression test packs to test new [. .. ]
Job am 29.11.2025 bei Neuvoo gefunden
taod Consulting GmbH
Data Engineer/ Scientist (m/w/d)
• Cologne, North Rhine- Westphalia
Abgeschlossenes Studium
Flexible Arbeitszeiten Betriebliche Altersvorsorge
Wir suchen dataful minds. Mit unserer Leidenschaft für Data
Analytics und AI helfen wir innovativen Unternehmen, den Wert ihrer Daten nutzbar zu machen. Dazu gehört ein modernes Consulting-Umfeld, agile [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] Projekte sowie starke Technologie-Partner. Du hast Lust auf Daten, Spaß an Beratung und möchtest deine Karriere aktiv vorantreiben? Bei uns startest du direkt in vielseitige Projekte, lernst ständig dazu [. .. ] gegenseitig vorantreiben. Gestalte deine Zukunft become a dataful mind Aufgaben Du hast Lust auf eine spannende Kombination aus Data Engineering und Data Science in einem modernen Consulting-Umfeld? Als Data Engineer/ Scientist (m/w/d) übernimmst du in unseren Teams sowohl technische als auch analytische Verantwortung und entwickelst innovative Lösungen auf Basis modernster Technologien. Du planst und realisierst hochmoderne Datenplattformen in der Cloud und erarbeitest wertvolle Insights, die unsere Kunden von den Potenzialen im Data-Umfeld begeistern. Cloud-Datenprojekte: Konzipiere, entwickle und betreibe skalierbare und sichere Datenmanagement-Lösungen im Cloud-Umfeld mit Fokus auf softwaregetriebene Architektur, Automatisierung und Infrastructure as Code. Softwarelösungen für Analytics AI Use Cases: Übernehme Verantwortung in Projekten im Bereich Big Data, Machine Learning und Predictive Analytics durch die Entwicklung datengetriebener Applikationen, APIs und Services idealerweise auch unter Einsatz von Azure Open AI Services. Innovative Datenarchitektur: Baue fortschrittliche Datenarchitekturen (z. B. auf Basis von Microsoft Azure, Snowflake oder Databricks) auf und entwickle diese kontinuierlich weiter Beratung und Workshops: Berate unsere Kunden und führe Workshops zur Anforderungsanalyse und [. .. ]
Job am 27.11.2025 bei Neuvoo gefunden
nova Capta
Senior Dev Ops Engineer (m/w/d)
• Hanover, Lower Saxony
Homeoffice möglich Abgeschlossenes Studium
Betriebliche Altersvorsorge Sabbaticals Jobticket Vermögenswirksame Leistungen
Senior Dev Ops
Engineer (m/w/d) Als Senior Dev Ops Engineer bist du das Verbindungsstück zwischen Administrations- und Entwicklungsbereichen Senior Dev Ops Engineer (m/w/d) Standort Augsburg, Fürth, Köln, Hamburg, Hannover, [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] München, Seligenstadt oder Stuttgart Voll-oder Teilzeit Festanstellung Ab sofort Bewirb dich jetzt als Senior Dev Ops Engineer (m/w/d) [. .. ] Studium der (Wirtschafts-) Informatik oder eine vergleichbare Qualifikationen Technische Kompetenz: Du hast fundierte Praxiserfahrung im Umfeld von Microsoft Azure und Azure Dev Ops, sowie einen fundierten Sachverstand im Bereich Infrastructure as Code (Ia C) (bevorzugt ARM-Templates, Azure CLI, Ansible oder Terraform) und bist versiert in der Entwicklung und dem Einsatz von Scripten (vorzugsweise Power Shell oder Azure CLI) Expertenwissen: Du hast ein wegweisendes Verständnis für die Prinzipien von Dev Ops und Agile Release (ART) , bringst Kenntnisse in den Bereichen [. .. ] Anforderungen und Herausforderungen zu verstehen und zu lösen. Bei Bedarf entwickeln wir maßgeschneiderte Lösungen, die über den Standard hinausgehen. Wir bearbeiten datengetriebene Themen und Business Intelligence-Projekte, wie z. B. Predictive Maintenance, Io T, GPT, Dokumentenanalyse oder Reporting. So machen wir Daten verfügbar und nutzbar, um den größtmöglichen Mehrwert zu schaffen. Die individuellen Lösungen, die wir für unsere Kunden entwickeln, werden zum Teil zu eigenen nova Capta-Produkten, wie z. B. nova Predict, nova Worxx oder nova Capta Building Project Site. Bitte [. .. ] PKS, synaigy, TIMETOACT, Walldorf Consulting und X-INTEGRATE erbringen Leistungen in den Bereichen Digital Workplace, Business Process Integration Automation, Mathematical Optimization, Data Warehouse Governance, Business Intelligence, IT Modernization und Predictive Analytics, Identity Access Governance sowie Commerce und Customer Experience. Mach dir selbst ein Bild von uns Das sagen ehemalige und aktuelle Mitarbeiter:innen auf über die nova Capta als Arbeitgeber. Haben 70666051 [. .. ]
Job am 27.11.2025 bei Neuvoo gefunden
nova Capta
Microsoft 365 Purview Engineer (m/w/d)
• Fürth, Bavaria
Homeoffice möglich
Betriebliche Altersvorsorge Sabbaticals Jobticket Vermögenswirksame Leistungen
Microsoft Purview
Engineer (m/w/d) Als M Purview Engineer (m/w/d) Gestalte mit uns die Zukunft der Datensicherheit Microsoft Purview Engineer (m/w/d) Standort Augsburg, Fürth, Köln, Hamburg, Hannover, München, Seligenstadt oder [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] Stuttgart Voll-oder Teilzeit Festanstellung Ab sofort Du bist der/ die Microsoft Purview Engineer, (m/w/d) , [. .. ] unsere Datenlandschaft sicher und compliant gestaltet. Du implementierst und optimierst Purview-Lösungen, um den Datenschutz und die Governance in unserer Cloud-Infrastruktur zu gewährleisten. Zur Verstärkung unseres Cloud Security and Infrastructure-Teams suchen wir deutschlandweit Dich zum nächstmöglichen Zeitpunkt. Was du bei uns bewegst Daten-Guru : Als unser Microsoft Purview Engineer unterstützt du unsere Kund:innen dabei, ihre Datenlandschaft sicher und compliant zu gestalten. Compliance-Vorreiter:in : Du navigierst durch die komplexe Welt der Datencompliance und Datenschutzbestimmungen und findest innovative Lösungen, [. .. ] Capta, PKS, synaigy, TIMETOACT, Walldorf Consulting und X-INTEGRATE erbringen Leistungen in den Bereichen Digital Workplace, Business Process Integration Automation, Mathematical Optimization, Data Warehouse Governance, Business Intelligence, IT Modernization und Predictive Analytics, Identity Access Governance sowie Commerce und Customer Experience. Mach dir selbst ein Bild von uns Das sagen ehemalige und aktuelle Mitarbeiter:innen auf über die nova Capta als Arbeitgeber. Haben 70708631 [. .. ]
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Häufig gestellte Fragen
Wieviel verdient man als Predictive Analytics Infrastructure Engineer pro Jahr?
Als Predictive Analytics Infrastructure Engineer verdient man zwischen EUR 60.000,- bis EUR 90.000,- im Jahr.
Wieviele offene Stellenangebote gibt es für Predictive Analytics Infrastructure Engineer Jobs bei unserer Jobsuche?
Aktuell gibt es auf JobRobot 28 offene Stellenanzeigen für Predictive Analytics Infrastructure Engineer Jobs.
Wieviele Unternehmen suchen nach Bewerbern für Predictive Analytics Infrastructure Engineer Jobs?
Aktuell suchen 5 Unternehmen nach Bewerbern für Predictive Analytics Infrastructure Engineer Jobs.
Welche Unternehmen suchen nach Bewerbern für Predictive Analytics Infrastructure Engineer Stellenangebote?
Aktuell suchen zum Beispiel folgende Unternehmen nach Bewerbern für Predictive Analytics Infrastructure Engineer Stellenangebote:
- nova Capta (5 Jobs)
- Devoteam (2 Jobs)
- adidas (1 Job)
- taod Consulting GmbH (1 Job)
In welchen Bundesländern werden die meisten Predictive Analytics Infrastructure Engineer Jobs angeboten?
Die meisten Stellenanzeigen für Predictive Analytics Infrastructure Engineer Jobs werden derzeit in Bayern (12 Jobs), Nordrhein-Westfalen (4 Jobs) und Hessen (3 Jobs) angeboten.
Zu welchem Berufsfeld gehören Predictive Analytics Infrastructure Engineer Jobs?
Predictive Analytics Infrastructure Engineer Jobs gehören zum Berufsfeld Internet & Web.
