26 Jobs für Predictive Analytics Infrastructure Engineer
Stellenangebote Predictive Analytics Infrastructure Engineer Jobs
Job am 11.04.2026 bei Stellen-Online.de gefunden
UDG
• Mainz, 55116
[. .. ] do. Key Responsibilities AI Implementation Deployment (ca. 75) - You design, build, and deploy production-ready AI solutions that deliver measurable business impact from intelligent automation and AI [...]
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[...] agents to predictive analytics and generative AI applications-You move fast, taking ideas from prototype to production, using modern frameworks (e. g. Lang Chain, Auto Gen) and foundation models (Open AI, Anthropic, open-source LLMs) - You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance [. .. ] their specific business challenges with concrete examples-Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise-Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives # # What you bring along. -Strong AI/ ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama) , including prompt engineering, RAG, fine-tuning, and AI agent [. .. ]
Job am 11.04.2026 bei Stellen-Online.de gefunden
UDG
Forward Deployed AI Engineer (all genders) - Vollzeit
• Ludwigsburg, 71636
[. .. ] do. Key Responsibilities AI Implementation Deployment (ca. 75) - You design, build, and deploy production-ready AI solutions that deliver measurable business impact from intelligent automation and AI [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] agents to predictive analytics and generative AI applications-You move fast, taking ideas from prototype to production, using modern frameworks (e. g. Lang Chain, Auto Gen) and foundation models (Open AI, Anthropic, open-source LLMs) - You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance [. .. ] their specific business challenges with concrete examples-Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise-Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives # # What you bring along. -Strong AI/ ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama) , including prompt engineering, RAG, fine-tuning, and AI agent [. .. ]
Job am 16.04.2026 bei Mindmatch.ai gefunden
KNAPP
• AT- 6 Hart bei Graz
Als AIOps
Engineer bist du zentraler Teil unseres Teams und gestaltest die Zukunft unserer intelligenten IT Operations Lösungen. Mit deinem Knowhow in Automatisierung, Observabilityund MLgestützter Systemanalyse hilfst du uns, hochverfügbare, [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] robuste und autonome Platformenumzusetzen. Du entwickelst KIgestützte Automatisierungslösungen, um IT Operationseffizienter, stabiler und vorausschauender zu gestalten. Du setzt Event Correlationund Noise Reduction Mechanismen um, um wichtige Signale aus großen Datenmengen schnell zu erkennen. Du entwickelst Anomaly Detectionund Predictive Analytics Systeme zur frühzeitigen Vorhersage kritischer Ausfälle. Du führst Root Cause Analysen (RCA) mit modernen MLund Datenanalysemethoden durch. Du führst Automated Remediationund Self Healing Mechanismen ein, die Incidentsautomatisch beheben odermitigieren. Du baust eine durchgängige Observability Architektur (Logs, Metrics, Traces) auf, um vollständige Systemtransparenz sicherzustellen. Du automatisierst wiederkehrende Abläufe mittels Scripting und Infrastructure Automation und unterstützt im Incident Response und Troubleshooting. Du arbeitest eng mit AI Engineers, Platform Teams und Infrastructure Expertszusammen, um intelligente, skalierbare Operations Lösungen zu entwickeln. Du hast eine technische Ausbildung (HTL-Informatik, Abschluss FH oder Universität Informatik/ Data Science etc. ) oder besitzt entsprechende praktische Erfahrung Du hast fundierte Erfahrung [. .. ]
Job am 10.04.2026 bei Mindmatch.ai gefunden
KNAPP AG
AI Ops Engineer (m/w/d)
• AT- 6 Hart bei Graz
Flexible Arbeitszeiten Betriebliche Altersvorsorge Mitarbeiterevents
[. .. ] Automatisierungslösungen, um IT Operationseffizienter, stabiler und vorausschauender zu gestalten. Du setzt Event Correlationund Noise Reduction Mechanismen um, um wichtige Signale aus großen Datenmengen schnell zu erkennen. Du [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] entwickelst Anomaly Detectionund Predictive Analytics Systeme zur frühzeitigen Vorhersage kritischer Ausfälle. Du führst Root Cause Analysen (RCA) mit modernen MLund Datenanalysemethoden durch. Du führst Automated Remediationund Self Healing Mechanismen ein, die Incidentsautomatisch beheben odermitigieren. Du baust eine durchgängige Observability Architektur (Logs, Metrics, Traces) auf, um vollständige Systemtransparenz sicherzustellen. Du automatisierst wiederkehrende Abläufe mittels Scripting und Infrastructure Automation und unterstützt im Incident Response und Troubleshooting. Du arbeitest eng mit AI Engineers, Platform Teams und Infrastructure Expertszusammen, um intelligente, skalierbare Operations Lösungen zu entwickeln. Qualifications Du hast eine technische Ausbildung (HTL-Informatik, Abschluss FH oder Universität Informatik/ Data Science etc. ) oder besitzt entsprechende praktische Erfahrung Du hast fundierte [. .. ]
Job vor 4 Tagen bei Jooble gefunden
Whow Games GmbH
• Hamburg
[. .. ] our exceptional team, work with the latest hardware, benefit from a variety of partnerships, and shape the Whow journey together with us. In this role, you will [...]
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[...] own the data infrastructure and measurement intelligence that drives our marketing decisions. As the single point of contact between Data and Marketing, you will partner directly with our Director of User Acquisition and Marketing PM to turn raw signals into budget decisions, channel strategies, and LTV insights across both new and highly competitive markets. [. .. ] paid channels Build and maintain scalable dbt data models and Tableau dashboards that enable self-service reporting on UA health metrics (Cohort ROAS, CPL trends, payback periods, LTV curves) Develop predictive LTV models for hybrid monetization (IAP + Ad Revenue) and own SKAd Network conversion value schemas for i OS Translate measurement outputs into concrete budget recommendations and channel mix decisions for senior stakeholders. You re the person who explains why a channel is over-or undervalued and what to do about [. .. ] to uncover acquisition and retention opportunities Collaborate with Data Engineering to ensure reliable data pipelines between Apps Flyer, ad networks, and our BI stack Requirements Required: 4+ years in Marketing Analytics, Analytics Engineering, or a closely related role in B2C or mobile Strong SQL and Python for data modeling, analysis, and predictive modeling (e. g. , D180 LTV forecasting) Hands-on experience with dbt and Tableau (or comparable BI tools) Deep understanding of marketing measurement (MMM, MTA, incrementality testing) and the [. .. ]
Job am 23.04.2026 bei Jooble gefunden
wikimedia
Senior Analyst, Fundraising Data Analytics (Contract)
• Homeoffice Homeoffice, DE
Homeoffice möglich
SENIOR ANALYST, FUNDRAISING DATA
ANALYTICS (CONTRACT) Duration: One-year contract Location: Remote, Preferred that the candidate be based between UTC05:00 and UTC+00:00 Summary The Wikimedia Foundation is the non-profit organization that [...]
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[...] operates Wikipediaone of the most popular websites in the world, serving nearly half a billion users every month. The Foundation is the only [. .. ] This role will be a full-time (40 hours/ week) contractor position. As a Senior Data Analyst, youll be part of a small and collaborative analytics team with an analytics engineer and two fellow analysts, supported by the Senior Manager, Fundraising Data Analytics as well as a data engineer on the adjacent fundraising technology team. This team supports our fundraising teams, from online fundraising to donor relations and major gifts. We organize our work in two-week sprints, with consistent backlog reviews, sprint plannings, mid-sprint reviews, and sprint retros. Youll be joining at an important juncture for both the analytics team and the Foundation. Weve recently completed an infrastructure migration to a more performant analytics stack and equipped our stakeholders with a self-serve reporting platform, so were well set up for working on the most important questions to fundraising. The web traffic landscape is changing quickly, and Wikimedia continues to diversify its fundraising channels and evaluate new approaches. [. .. ] in a business intelligence platform Practical statistical expertise for designing experiments and drawing valid conclusions from experimental results Comfortable working with Python for more advanced calculations or analysis Experience using predictive modeling to answer business questions Experience efficiently troubleshooting SQL queries and pipelines to find the root cause of a data anomaly Collaboration Comfortable with giving and receiving code reviews through git (Git Lab, Git Hub, Gerrit, etc. ) A record of clearly documenting your work for the benefit of your [. .. ]
Job am 23.04.2026 bei Jooble gefunden
dataiku
• Homeoffice Homeoffice, DE
Homeoffice möglich
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate
analytics, machine learning, and AI [...]
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[...] agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack empowering organizations to run AI across multi-vendor environments with centralized governance. The worlds leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, Linked In, X, and You Tube. How you ll make an impact You will play a pivotal role in shaping Dataiku s product positioning, roadmap, and requirements for predictive analytics, machine learning, and Gen AI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products [. .. ] g. advanced analytics, predictive analytics, Gen AI-powered applications) Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don t need to be a software engineer, but you produce tangible artifacts that make ideas testable. Ability to engage with business leaders and influence decisions Proven ability to influence cross-functional teams without formal authority What are you waiting for At Dataiku, you ll be part of a journey to shape the ever-evolving world of AI. [. .. ]
Job am 08.04.2026 bei Jooble gefunden
UDG
Forward Deployed AI Engineer (all genders) - Ingenieur, System Engineering/ Admin
• Regierungsbezirk Rheinhessen- Pfalz; Rheinland- Pfalz Mainz, DE
[. .. ] you do. Key Responsibilities AI Implementation Deployment (ca. 75) You design, build, and deploy production-ready AI solutions that deliver measurable business impact from intelligent automation and AI [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] agents to predictive analytics and generative AI applications You move fast, taking ideas from prototype to production, using modern frameworks (e. g. Lang Chain, Auto Gen) and foundation models (Open AI, Anthropic, open-source LLMs) You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance and [. .. ] their specific business challenges with concrete examples Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives What you bring along. Strong AI/ ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama) , including prompt engineering, RAG, fine-tuning, and AI agent development (Lang Chain, [. .. ]
Job am 08.04.2026 bei Jooble gefunden
UDG
• Landkreis Ludwigsburg; Region Stuttgart, Württemberg; Regierungsbezirk Stuttgart; Württemberg Ludwigsburg, DE
[. .. ] you do. Key Responsibilities AI Implementation Deployment (ca. 75) You design, build, and deploy production-ready AI solutions that deliver measurable business impact from intelligent automation and AI [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] agents to predictive analytics and generative AI applications You move fast, taking ideas from prototype to production, using modern frameworks (e. g. Lang Chain, Auto Gen) and foundation models (Open AI, Anthropic, open-source LLMs) You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance and [. .. ] their specific business challenges with concrete examples Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives What you bring along. Strong AI/ ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama) , including prompt engineering, RAG, fine-tuning, and AI agent development (Lang Chain, [. .. ]
Job am 08.04.2026 bei Jooble gefunden
taod Consulting GmbH
Data Engineer/ Scientist (m/w/d)
• Regierungsbezirk Köln; Westfalen Köln, DE
Abgeschlossenes Studium
Flexible Arbeitszeiten Betriebliche Altersvorsorge
Data
Engineer/ Scientist (m/w/d) Wir suchen an unseren Standorten in Köln und Stuttgart dataful minds. Mit unserer Leidenschaft für Data
Analytics und AI helfen wir innovativen Unternehmen, den Wert ihrer [...]
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[...] Daten nutzbar zu machen. Dazu gehört ein modernes Consulting-Umfeld, agile 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 [. .. ] 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 08.04.2026 bei Jooble gefunden
taod Consulting GmbH
• Region Stuttgart, Württemberg; Regierungsbezirk Stuttgart; Württemberg Stuttgart, DE
Abgeschlossenes Studium
Flexible Arbeitszeiten Betriebliche Altersvorsorge
Wir suchen an unseren Standorten in Köln und Stuttgart dataful minds. Mit unserer Leidenschaft für Data
Analytics und AI helfen wir innovativen Unternehmen, den Wert ihrer Daten nutzbar zu machen. [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] Dazu gehört ein modernes Consulting-Umfeld, agile 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 [. .. ] vorantreiben. Gestalte deine Zukunft become a dataful mind. Deine 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 vor 11 Tagen bei Jobleads gefunden
Data Engineering Intern-AI/ ML Systems
• Zug
[. .. ] The AI/ ML Engineering team builds intelligent systems across energy management, asset health monitoring, digital twin simulation, and manufacturing optimization. Across all of these initiatives, robust and [...]
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[...] well-engineered data infrastructure is a foundational requirement. Data Engineering at Ener Sys operates at the interface of data systems and AI/ ML development, with direct responsibility for the quality, availability, and structure of data that feeds production models and research workflows. This role is not a traditional reporting or analytics function. It requires both the technical rigor of a data engineer and the domain fluency of someone who understands machine learning systems-how models consume data, where pipeline design decisions affect model performance, and how data quality issues manifest downstream in production. We offer a 6-month internship. Position Summary The Data Engineering Intern will design and build data infrastructure that supports active AI/ ML projects across Ener Syss portfolio-including energy management systems, digital twin simulation, predictive maintenance, and manufacturing optimization. The intern will contribute to ingestion pipelines, feature engineering workflows, data quality frameworks, and analytical tooling, working in close collaboration with AI/ ML engineers and researchers throughout. A strong and demonstrated understanding of machine learning concepts and workflows is required; the intern will be expected to [. .. ]
Job am 25.04.2026 bei Jobleads gefunden
• 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 23.04.2026 bei Jobleads gefunden
Europe DCS Engineer
[. .. ] look, youll find products enabled by Bakelite, from stronger homes to safer automobiles and everywhere in between. With more than 100 years of history and strong customer [...]
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[...] relationships, we boldly engineer sustainable products to tackle our worlds most challenging demands. Join Our Team and Help Us Build a Stronger, Safer, Better World. Its Better with Bakelite. Europe DCS Engineer (all genders) What does a typical day look like? These are your main tasks: Asset Materials Standardisation: Develop and implement the Bakelite [. .. ] control and safeguarding systems across multiple vendors. Mitigate obsolescence risks and long lead times through strategic parts contracts. Improve energy efficiency and reduce production costs. Minimise downtime risk from DCS infrastructure failures. Major EC I Project Design Process Control Own the development of Process Narratives, FDS/ HDS, I/ O Lists, Logic C E Diagrams, FAT/ SAT, and Commissioning Plans. Ensure successful delivery of EI and DCS capital programs. Process Control Programming Troubleshooting Provide expert support across multiple BPCS platforms (Rockwell, Yokogawa, [. .. ] Batch Recipe Production Sequence Optimization Drive the optimisation of batch recipes and production sequences to support OEE initiatives. Drive cost savings and improve production efficiency through in-house programming. Data Analytics Program Working with the EU Engineering team implement and manage analytics tools across European sites. Apply process control and instrumentation expertise to enhance data insights. Reduce material rework and quality issues. Enable online water content testing for foam resins. Support the OEE Pillar on DCS initiatives. AI-Based Software Trials [. .. ] trials of AI technologies for new product development and process optimisation. Collaborate with internal and external AI/ data specialists. Enable real-time data migration and AI-driven decision-making. Strengthen predictive capabilities and digital maturity across operations. What is required to be successful in this role? (Education Experience) : Bachelors or Masters degree in Process Control, Automation, Electrical Engineering, or related field. 10+ years in process control and automation within manufacturing environments. Proven leadership in capital project execution and analytics programme [. .. ]
Job am 19.04.2026 bei Jobleads gefunden
• Wiesbaden, Hessen
MEANINGFUL WORK AND PERSONAL IMPACT Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Cloud Data
Engineer at GDIT, youll power [...]
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[...] innovation to drive mission impact and grow your expertise to power your career forward. GDIT is seeking a skilled Cloud Data Engineer with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. This role supports [. .. ] Performing analysis and supporting the migration of modern databases, data processing services, data architecture, and data storage solutions across Google Cloud, AWS, and Azure platforms. Developing BI reports, dashboards, and predictive analytics using tools such as Power BI, Tableau, Google Looker, AWS Quick Sight, Micro Strategy, and others. Generating and delivering data inventory reports to customers as part of project deliverables, leveraging multicloud capabilities. WHAT YOULL NEED TO SUCCEED Education: Bachelors degree in computer science, Information Technology, or a related field. Experience: [. .. ] including familiarity with its core services and tools; 34 years of handson experience in a cloud engineering role, with AWS and/or Azure cloud platforms. Technical skills: Proven experience with Infrastructure as Code (Ia C) tools, specifically Terraform, for provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform (GCP) . Handson expertise with Ansible for configuration management and automation of IT environments. Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems, [. .. ]
Job am 18.04.2026 bei Jobleads gefunden
AI Ops Engineer (m/w/d)
• Hart bei Graz, Steiermark
Als AIOps
Engineer bist du zentraler Teil unseres Teams und gestaltest die Zukunft unserer intelligenten IT Operations Lösungen. Mit deinem Knowhow in Automatisierung, Observabilityund MLgestützter Systemanalyse hilfst du uns, [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] hochverfügbare, robuste und autonome Platformenumzusetzen. Du entwickelst KIgestützte Automatisierungslösungen, um IT Operationseffizienter, stabiler und vorausschauender zu gestalten. Du setzt Event Correlationund Noise Reduction Mechanismen um, um wichtige Signale aus großen Datenmengen schnell zu erkennen. Du entwickelst Anomaly Detectionund Predictive Analytics Systeme zur frühzeitigen Vorhersage kritischer Ausfälle. Du führst Root Cause Analysen (RCA) mit modernen MLund Datenanalysemethoden durch. Du führst Automated Remediationund Self Healing Mechanismen ein, die Incidentsautomatisch beheben odermitigieren. Du baust eine durchgängige Observability Architektur (Logs, Metrics, Traces) auf, um vollständige Systemtransparenz sicherzustellen. Du automatisierst wiederkehrende Abläufe mittels Scripting und Infrastructure Automation und unterstützt im Incident Response und Troubleshooting. Du arbeitest eng mit AI Engineers, Platform Teams und Infrastructure Expertszusammen, um intelligente, skalierbare Operations Lösungen zu entwickeln. Du hast eine technische Ausbildung (HTL-Informatik, Abschluss FH oder Universität Informatik/ Data Science etc. ) oder besitzt entsprechende praktische Erfahrung Du hast fundierte Erfahrung [. .. ]
Job am 16.04.2026 bei Jobleads gefunden
[. .. ] Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using ecofriendly practices in stateoftheart, geodiverse facilities. Tether Data: Fueling breakthroughs in AI and peertopeer [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] technology, we reduce infrastructure costs and enhance global communications with cuttingedge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to toptier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of [. .. ] Tethers Bitcoinmining operations worldwide. This role is responsible for designing the data foundation and AI models that drive realworld operational efficiency across mining sites, with a focus on performance optimization, predictive insights, and intelligent automation. You will work closely with engineering, data, and operations teams to define a structured data baseline, ensure highquality data modelling, and develop AIdriven solutions that are fully integrated into MOS/ MDK. Your mission is simple and ambitious: turn data into intelligence and intelligence into sitelevel efficiency. [. .. ] impact tracking, and KPIs. Document systems, architecture, and modelling assumptions clearly. Culture Mindset Promote a datadriven, efficiencyfirst culture within the Mining Software team. Stay updated on AI, optimisation and industrial analytics trends. Bachelors or Masters degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or similar. 3+ years experience in AI/ ML, data science, or applied optimisation roles. Proven experience designing data models/ schemas/ baselines for largescale, timeseriesheavy datasets. Strong proficiency in Python and modern ML frameworks (e. g. , [. .. ]
Job am 10.04.2026 bei Jobleads gefunden
AI Ops Engineer (m/w/d)
• Hart bei Graz, Steiermark
Flexible Arbeitszeiten Betriebliche Altersvorsorge Mitarbeiterevents
[. .. ] Automatisierungslösungen, um IT Operationseffizienter, stabiler und vorausschauender zu gestalten. Du setzt Event Correlationund Noise Reduction Mechanismen um, um wichtige Signale aus großen Datenmengen schnell zu erkennen. Du [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] entwickelst Anomaly Detectionund Predictive Analytics Systeme zur frühzeitigen Vorhersage kritischer Ausfälle. Du führst Root Cause Analysen (RCA) mit modernen MLund Datenanalysemethoden durch. Du führst Automated Remediationund Self Healing Mechanismen ein, die Incidentsautomatisch beheben odermitigieren. Du baust eine durchgängige Observability Architektur (Logs, Metrics, Traces) auf, um vollständige Systemtransparenz sicherzustellen. Du automatisierst wiederkehrende Abläufe mittels Scripting und Infrastructure Automation und unterstützt im Incident Response und Troubleshooting. Du arbeitest eng mit AI Engineers, Platform Teams und Infrastructure Expertszusammen, um intelligente, skalierbare Operations Lösungen zu entwickeln. Qualifications Du hast eine technische Ausbildung (HTL-Informatik, Abschluss FH oder Universität Informatik/ Data Science etc. ) oder besitzt entsprechende praktische Erfahrung Du hast fundierte [. .. ]
Job am 07.04.2026 bei Jobleads gefunden
• Zürich
[. .. ] chemical plants, power utilities and other complex industrial sectors. As a leader in mobile robotics, we provide an end-to-end solution that combines cutting-edge autonomy, high-value data
MEHR INFOS ZUM STELLENANGEBOT
[...] class=highlight_text>analytics and mechanical engineering excellence. Our solution enables autonomous inspection and monitoring of large-scale industrial facilities, increasing safety while maximizing uptime for the world u2019s most critical
infrastructure. The Opportunity The Product Management team at AN Ybotics is the strategic heartbeat of the company. We bridge breakthrough engineering with commercial success. Our mission is to translate our entire technology stack into tangible value for our customers. We succeed by transforming data into deep operational insights and actionable recommendations that drive critical business outcomes, specifically reducing equipment downtime, mitigating safety risks, and maximizing asset lifespan. Your Impact As a credentialed Reliability
Engineer, you possess a profound understanding of our customers operational and plant-floor realities. You have the specialized expertise to translate complex inspection data into the specific, high-stakes actions our customers must take to maintain their infrastructure. Leveraging your deep domain knowledge, you will help shape our next-generation inspection [. .. ] on reducing equipment downtime, mitigating safety risks and maximizing asset lifespan using AN Ybotics solutions Your profile Experience: 8+ years of experience in the area of industrial inspection workflows and
predictive maintenance, working directly with industrial assets (e. g. , pumps, motors, turbines, pressurized vessels) Education: Bachelors degree in Engineering or other related technical field Customer-Centricity Sales Enablement: Keen observer of customer personas and pain points with a deep understanding of what resonates in the market. You are comfortable presenting [. .. ]
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Job am 07.04.2026 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 03.04.2026 bei Jobleads gefunden
(Senior) Machine Learning Engineer
• Dietmannsried, Bayern
General Information Race On is seeking a Senior Machine Learning
Engineer as well as a Junior Machine Learning Engineer to architect and build production ML systems that create a [...]
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[...] competitive advantage on race day. The tasks are slightly different but candidates will be managed via the same application and more details will be available in the interview. A generalisation of tasks is listed below as well as profile requirements. Your mission Develop, validate, and deploy ML models for performance and operational use cases (e. g. , predictive analytics, decision support, performance measurement) . Build data pipelines and analysis workflows for structured and timeseries data. Implement monitoring and iteration practices for deployed models (MLOps basics) . Collaborate with engineering and performance stakeholders to translate requirements into deliverables. Contribute to ML infrastructure and codebase quality (reviews, documentation, reusable components) . Travel occasionally for live validation and stakeholder feedback (roledependent; approx. 56 race weekends/ year for some assignments) . Your profile 2+ years building production ML systems. MSc in Machine Learning, Data Science, Computer Science, or related field (or equivalent experience) . Strong [. .. ]
Job am 25.03.2026 bei Jobleads gefunden
Full-Stack Data Platform Engineer
• Berlin
[. .. ] workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need [...]
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[...] a data platform engineer to help us design and operate the systems that turn that data into intelligence powering analytics, workflow insights, and economic modeling. What Youll Do Design, implement, and maintain a scalable data warehouse (Big Query, Snowflake, Redshift, or similar) . Develop and optimize ETL pipelines to ingest data from APIs and internal systems. Model and manage datasets to support flexible analytics and product features. Collaborate with engineering [. .. ] environments. Implement event-based pipelines for realtime analytics and reporting. Contribute to data governance, privacy, and security best practices. Who You Are Experienced in data warehouse architecture and scalable analytics infrastructure. Strong with SQL, data modeling, and pipeline performance optimization. Handson with ETL tools, data ingestion frameworks, and cloudbased data operations. Capable of balancing technical depth with realworld impact you build systems people actually use. Comfortable navigating tradeoffs between cost, scalability, and complexity. Curious about how data translates into insights, decisions, and automation. Bonus points Experience with Python for analytics and data wrangling. Familiarity with AI/ MLdriven analytics or predictive modeling. Exposure to realtime or streaming data architectures. Understanding of data governance, compliance, and secure cloud operations. Why join Youll build the backbone of Reflows intelligence layer, the systems that make our data usable, fast, and insightful. Youll work directly with founders and engineers across analytics, infrastructure, and product. This [. .. ]
Job am 16.03.2026 bei Jobleads gefunden
Senior Microsoft Azure AI/ ML Architect (m/w/d) , Permanent contract
• Frankfurt, Hesse
[. .. ] Solution Architecture: Own the endtoend architecture for AI/ ML solutions on Azure, from concept and design to deployment. Develop highlevel solution designs that integrate with clients existing [...]
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[...] data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ ML can drive value (e. g. predictive maintenance in manufacturing, drug discovery insights in pharma, or risk modelling in insurance) . Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide handson technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud [. .. ] Azure. Lead knowledgesharing sessions and training to upskill colleagues, and support the growth of a community of practice around AI/ ML. Qualifications 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 productiongrade 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 Azure [. .. ] 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 (AI102) . Certification in machine learning frameworks or platforms (e. g. 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) . Additional [. .. ]
Job am 28.02.2026 bei Jobleads gefunden
(Senior) AI Engineer (m/w/d)
• München, Bayern
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? Are [...]
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[...] 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 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 Build, integrate and optimize 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 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 23.01.2026 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. [. .. ]
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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 26 offene Stellenanzeigen für Predictive Analytics Infrastructure Engineer Jobs.
Wieviele Unternehmen suchen nach Bewerbern für Predictive Analytics Infrastructure Engineer Jobs?
Aktuell suchen 9 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:
- UDG (4 Jobs)
- taod Consulting GmbH (2 Jobs)
- KNAPP (1 Job)
- KNAPP AG (1 Job)
- Whow Games GmbH (1 Job)
- wikimedia (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 (4 Jobs), Baden-Württemberg (3 Jobs) und Nordrhein-Westfalen (2 Jobs) angeboten.
Zu welchem Berufsfeld gehören Predictive Analytics Infrastructure Engineer Jobs?
Predictive Analytics Infrastructure Engineer Jobs gehören zum Berufsfeld Internet & Web.
