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27 Jobs für Predictive Analytics Operations Engineer


Stellenangebote Predictive Analytics Operations Engineer Jobs


Job am 21.04.2026 bei Mindmatch.ai gefunden Siemens

Legal Engineer (f/m/d) Legal Innovation Automation

• AT- 9 Wien [. .. ] future of legal services with us Are you fascinated by the intersection of law, technology, and process optimization? At Siemens Legal, we are seeking a creative and [...]
MEHR INFOS ZUM STELLENANGEBOT[...] technically adept Legal Engineer to transform our Legal, Compliance and Intellectual Property (LC) function through the intelligent application of technology, with a strong emphasis on Artificial Intelligence and process design. Become our driving force for the automation and digitalization of our services. Work closely with our lawyers, as well as IP and compliance professionals [. .. ] to keep your expert knowledge uptodate Youll make an impact by You analyze, optimize, and automate complex legal processes by using AI and machine learning to enhance efficiency, quality, and predictive analytics within legal operations Building on this, you evaluate, pilot, and implement advanced Legal Tech and AI solutions, seamlessly integrating them into existing workflows and developing strategies for successful enterprisewide adoption You own the development of AIpowered document automation programs, designing smart templates and optimizing structures for intelligent content generation, clause identification, and compliance [. .. ]

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Job am 16.04.2026 bei Mindmatch.ai gefunden KNAPP AI Ops Engineer (m/w/d) • 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 [. .. ]

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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 Erfahrung mit Python für Automatisierung und Datenanalyse. Du hast Praxis mit Big Data/ Streaming Technologien (Kafka, Spark) zur Verarbeitung großer Telemetrie Datenmengen. [. .. ]

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Job vor 2 Tagen bei Jooble gefunden SAP AI Application Developer (f/m/d) T2 • Landkreis Groß- Gerau; Regierungsbezirk Darmstadt; Hessen [. .. ] and cloud-native extensions. You will work closely with architects, UX designers, and Product specialists to deliver high-performance mobile solutions within the SAP ecosystem. Were looking for an [...]
MEHR INFOS ZUM STELLENANGEBOT[...] AI Engineer who enjoys ownership, experimentation, and shipping impact fast. What youll do: Own end-to-end AI productization from concept to scalable, reliable production. Design, build, and maintain backend services, APIs, and data pipelines using Python, Java, or Go. Develop agentic and autonomous AI systems with secure, compliant, enterprise-grade architectures. Implement advanced AI capabilities, including: NLP pipelines and conversational assistants Semantic search, recommendation systems, and vector search Classification, summarization, predictive analytics, and intelligent automation Retrieval-Augmented Generation (RAG) and generative AI workflows for enterprise and mobile apps Integrate AI logic into transactional systems using OData and REST services. Develop and deploy applications on SAP BTP using SAP AI, Event Mesh, Cloud Foundry, and Kyma (Kubernetes) . Build and extend enterprise applications [. .. ] with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in [. .. ]

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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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] operates Wikipediaone of the most popular websites in the world, serving nearly half a billion users every month. The Foundation is the only [. .. ] worldwide campaigns across nearly 40 countries and 20 languages, collecting donations to support the Wikimedia Foundations mission to empower and engage people around the world with free knowledge. The Fundraising Operations team has an opening for a senior data analyst on our team, to support data-driven decisions to improve the effectiveness of our fundraising strategies, while staying true to our values of openness, transparency, and respect of user privacy. 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 [. .. ] 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 [. .. ]

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Job am 23.04.2026 bei Jooble gefunden dataiku Sr Product Manager • 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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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 [. .. ] 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 and features. Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in [. .. ] 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. [. .. ]

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Job am 15.04.2026 bei Jooble gefunden ai- omatic solutions GmbH

(Senior) Data Engineer (Backend + APIs) (all genders welcome)

• Hamburg Hamburg, DE aiomatic builds a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. It continuously analyzes machine data, detects anomalies early, and notifies teams with clear, actionable context. As part [...]
MEHR INFOS ZUM STELLENANGEBOT[...] of the Application Engineering team, youll take ownership of our data storage and warehouse foundations (schemas, performance, reliability, and access patterns) , while also shipping production-grade backend services and RES Tful [. .. ] Tasks Data Storage Ownership: Own the foundations of our data storage layer, including schema design, migrations, performance tuning, and reliability. Data Modeling: Design clear, scalable schemas and data marts for analytics and product use cases. Backend Services: Develop backend services that expose storage-backed capabilities to the product. RES Tful APIs: Design, implement, and maintain APIs with strong contracts, versioning, and observability. Quality Operations: Improve test coverage, performance, and reliability through monitoring and thoughtful alerting. Collaboration: Work closely with product and engineering to translate requirements into robust data and API solutions. Requirements Experience: 5+ years of professional software development experience, with substantial time in data engineering. Core Expertise: Strong expertise in Python and SQL. [. .. ]

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Job am 08.04.2026 bei Jooble gefunden Mindrift Freelance Data Science Engineer (Python SQL) • Berlin Berlin, DE Freiberuflich [. .. ] Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/ weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, [...]
MEHR INFOS ZUM STELLENANGEBOT[...] feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document [. .. ] programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning-deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with Gen AI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (Tensor Flow, Py Torch, Lang Chain) Strong written English (C1+) . How it works Apply Pass qualification (s) Join a project Complete tasks [. .. ]

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Job am 08.04.2026 bei Jooble gefunden Mindrift

Freelance Data Science Engineer (Python SQL)

• Region Stuttgart, Württemberg; Regierungsbezirk Stuttgart; Württemberg Stuttgart, DE Freiberuflich [. .. ] Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/ weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, [...]
MEHR INFOS ZUM STELLENANGEBOT[...] feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document [. .. ] programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning-deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with Gen AI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (Tensor Flow, Py Torch, Lang Chain) Strong written English (C1+) . How it works Apply Pass qualification (s) Join a project Complete tasks [. .. ]

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Job am 08.04.2026 bei Jooble gefunden Mindrift Freelance Data Science Engineer (Python SQL) • Region München, Bayern; Regierungsbezirk Oberbayern; Bayern München, DE Freiberuflich [. .. ] Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/ weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, [...]
MEHR INFOS ZUM STELLENANGEBOT[...] feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document [. .. ] programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning-deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with Gen AI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (Tensor Flow, Py Torch, Lang Chain) Strong written English (C1+) . How it works Apply Pass qualification (s) Join a project Complete tasks [. .. ]

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Job am 08.04.2026 bei Jooble gefunden Mindrift Freelance Data Science Engineer (Python SQL) • Hamburg Hamburg, DE Freiberuflich [. .. ] Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/ weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, [...]
MEHR INFOS ZUM STELLENANGEBOT[...] feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document [. .. ] programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning-deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with Gen AI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (Tensor Flow, Py Torch, Lang Chain) Strong written English (C1+) . How it works Apply Pass qualification (s) Join a project Complete tasks [. .. ]

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Job vor 11 Tagen bei Jobleads gefunden Legal Engineer (f/m/d) Legal Innovation Automation • München, Bayern [. .. ] future of legal services with us Are you fascinated by the intersection of law, technology, and process optimization? At Siemens Legal, we are seeking a creative and [...]
MEHR INFOS ZUM STELLENANGEBOT[...] technically adept Legal Engineer to transform our Legal, Compliance and Intellectual Property (LC) function through the intelligent application of technology, with a strong emphasis on Artificial Intelligence and process design. Become our driving force for the automation and digitalization of our services. Work closely with our lawyers, as well as IP and compliance professionals [. .. ] to keep your expert knowledge uptodate Youll make an impact by You analyze, optimize, and automate complex legal processes by using AI and machine learning to enhance efficiency, quality, and predictive analytics within legal operations Building on this, you evaluate, pilot, and implement advanced Legal Tech and AI solutions, seamlessly integrating them into existing workflows and developing strategies for successful enterprisewide adoption You own the development of AIpowered document automation programs, designing smart templates and optimizing structures for intelligent content generation, clause identification, and compliance [. .. ]

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Job vor 12 Tagen bei Jobleads gefunden

Customer Engineer-Graduate Program

• Dresden, Sachsen [. .. ] programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our. As [...]
MEHR INFOS ZUM STELLENANGEBOT[...] a Field Service Engineer Customer Engineer at Applied Materials, you serve as the direct liaison with customers, collaborating closely to install, maintain, and upgrade equipment. Youll use digital analytics for troubleshooting and apply basic diagnostic techniques to assess and address technical issues. Your responsibilities include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, youll coordinate and communicate directly with customers to ensure smooth operations and exceptional service. Field Service/ Customer Engineer-New College Graduate/ Early Career Dresden, Germany Full-Time International Training Program Kick-start your engineering career with world class training, hands on technical work, and international experience at Applied Materialsthe global leader in semiconductor technology. This role is ideal for recent graduates [. .. ] maintain, and troubleshoot advanced semiconductor equipment with high-complex machine components Work closely with experienced engineers in a cleanroom, high precision environment based on procedures for (un-) scheduled and predictive maintenance including continuous improvement programs (CIPs) Use digital diagnostic tools to solve real technical problems by machine data based predictive maintenance approaches (including AI) Support customer operations and ensure a high-quality equipment performance with a zero-defect culture and high consciousness for employee safety and product quality Build deep [. .. ]

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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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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 [. .. ] 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 management. Experience with multiple BPCS platforms [. .. ]

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Job am 21.04.2026 bei Jobleads gefunden Legal Engineer (f/m/d) Legal Innovation Automation • Wien [. .. ] future of legal services with us Are you fascinated by the intersection of law, technology, and process optimization? At Siemens Legal, we are seeking a creative and [...]
MEHR INFOS ZUM STELLENANGEBOT[...] technically adept Legal Engineer to transform our Legal, Compliance and Intellectual Property (LC) function through the intelligent application of technology, with a strong emphasis on Artificial Intelligence and process design. Become our driving force for the automation and digitalization of our services. Work closely with our lawyers, as well as IP and compliance professionals [. .. ] to keep your expert knowledge uptodate Youll make an impact by You analyze, optimize, and automate complex legal processes by using AI and machine learning to enhance efficiency, quality, and predictive analytics within legal operations Building on this, you evaluate, pilot, and implement advanced Legal Tech and AI solutions, seamlessly integrating them into existing workflows and developing strategies for successful enterprisewide adoption You own the development of AIpowered document automation programs, designing smart templates and optimizing structures for intelligent content generation, clause identification, and compliance [. .. ]

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Job am 19.04.2026 bei Jobleads gefunden Cloud Data Engineer • 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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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: [. .. ] plus. Dev Sec Ops experience, including building and maintaining CI/ CD pipelines across cloud platforms. Proficiency in scripting languages such as Python, Bash, and/or Power Shell for automation and cloud operations. Strong Linux administration skills and advanced SQL scripting capabilities for database management and optimization. Familiarity with BI tools such as Power BI, Tableau, and SQL Server Reporting Services (SSRS) . Superior knowledge of Agile methodologies and iterative development principles in a fastpaced, serviceoriented environment. Security clearance level: Must be a [. .. ]

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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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] uns, 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 [. .. ]

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Job am 18.04.2026 bei Jobleads gefunden (Senior) Data Engineer (Backend + APIs) (all genders welcome) • Hamburg Overview aiomatic builds a digital maintenance assistant that reduces unplanned downtime through predictive maintenance. It continuously analyzes machine data, detects anomalies early, and notifies teams with clear, actionable context. [...]
MEHR INFOS ZUM STELLENANGEBOT[...] As part of the Application Engineering team, youll take ownership of our data storage and warehouse foundations (schemas, performance, reliability, and access patterns) , while also shipping production-grade backend services and RES Tful [. .. ] Responsibilities Data Storage Ownership: Own the foundations of our data storage layer, including schema design, migrations, performance tuning, and reliability. Data Modeling: Design clear, scalable schemas and data marts for analytics and product use cases. Backend Services: Develop backend services that expose storage-backed capabilities to the product. RES Tful APIs: Design, implement, and maintain APIs with strong contracts, versioning, and observability. Quality Operations: Improve test coverage, performance, and reliability through monitoring and thoughtful alerting. Collaboration: Work closely with product and engineering to translate requirements into robust data and API solutions. Requirements Experience: 5+ years of professional software development experience, with substantial time in data engineering. Core Expertise: Strong expertise in Python and SQL. [. .. ]

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Job am 16.04.2026 bei Jobleads gefunden

Senior Full-Stack Engineer

• Berlin We are a global software company building intelligent tools for supply chain optimization. Our platform helps manufacturers, logistics teams, and procurement managers make faster, smarter decisions through predictive analytics [...]
MEHR INFOS ZUM STELLENANGEBOT[...] and collaborative planning tools. Were looking for a Senior Full Stack Engineer to help scale our web platform and lead critical engineering initiatives. About us: We support midsized and enterprise operations with a modern Saa S platform built for transparency, speed, and adaptability. Our users depend on us for near realtime insights into production data, vendor performance, and planning workflows. Were a remote team of engineers, product thinkers, and data specialists working across Europe and North America. What youll do Develop product [. .. ]

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Job am 16.04.2026 bei Jobleads gefunden AI Optimization Engineer (100 Remote) [. .. ] industry. Were looking for excellent English communication skills and a readiness to contribute to the most innovative platform on the planet. About The Job The AI Optimization [...]
MEHR INFOS ZUM STELLENANGEBOT[...] Lead Bitcoin Mining Operations will play a crucial role in defining and executing the AI vision for MOS (Mining Operating System) and MDK (Mining Development Kit) the core FOSS platforms powering 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. , [. .. ]

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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 Erfahrung mit Python für Automatisierung und Datenanalyse. Du hast Praxis mit Big Data/ Streaming Technologien (Kafka, Spark) zur Verarbeitung großer Telemetrie Datenmengen. [. .. ]

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Job am 07.04.2026 bei Jobleads gefunden Industrial Asset Reliability Engineer • 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 [. .. ] 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 [. .. ] is available to our customers in order to derive actionable insights Consultative Sales Strategic Advisory Act as a subject matter expert during the sales cycle, commanding respect with maintenance and operations leaders at our customers industrial sites Provide actionable advice to customers 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 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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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 [. .. ] 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 [. .. ]

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Job am 16.03.2026 bei Jobleads gefunden Senior Microsoft Azure AI/ ML Architect (m/w/d) , Permanent contract • Frankfurt, Hesse [. .. ] integrate with clients existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ ML can drive [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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 [. .. ] provisioning tasks. Innovate: Conduct proofofconcepts for emerging Azure technologies and Gen AI applications. Platform integration: Integrate and manage key platform services, including Storage, Networking, Identity, and Monitoring, ensuring seamless endtoend operations. Well Architected: Implement secure, scalable designs following best practices for availability, performance optimisation, and cloud security. Collaboration: Work within Agile/ Scrum teams, partnering with developers, cloud engineers, and stakeholders to deliver highquality, cloudready solutions. Analytical skills: Diagnose and resolve complex issues in cloud and Dev Ops environments, applying strong problemsolving [. .. ]

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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 [...]
MEHR INFOS ZUM STELLENANGEBOT[...] 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 [. .. ]

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Wieviel verdient man als Predictive Analytics Operations Engineer pro Jahr?

Als Predictive Analytics Operations Engineer verdient man zwischen EUR 55.000,- bis EUR 90.000,- im Jahr.


Wieviele offene Stellenangebote gibt es für Predictive Analytics Operations Engineer Jobs bei unserer Jobsuche?

Aktuell gibt es auf JobRobot 27 offene Stellenanzeigen für Predictive Analytics Operations Engineer Jobs.


Wieviele Unternehmen suchen nach Bewerbern für Predictive Analytics Operations Engineer Jobs?

Aktuell suchen 9 Unternehmen nach Bewerbern für Predictive Analytics Operations Engineer Jobs.


Welche Unternehmen suchen nach Bewerbern für Predictive Analytics Operations Engineer Stellenangebote?

Aktuell suchen zum Beispiel folgende Unternehmen nach Bewerbern für Predictive Analytics Operations Engineer Stellenangebote:


  • Mindrift (4 Jobs)
  • SAP (2 Jobs)
  • Siemens (1 Job)
  • KNAPP (1 Job)
  • KNAPP AG (1 Job)
  • wikimedia (1 Job)


In welchen Bundesländern werden die meisten Predictive Analytics Operations Engineer Jobs angeboten?

Die meisten Stellenanzeigen für Predictive Analytics Operations Engineer Jobs werden derzeit in Bayern (3 Jobs), Hamburg (3 Jobs) und Berlin (3 Jobs) angeboten.


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Predictive Analytics Operations Engineer Jobs gehören zum Berufsfeld Internet & Web.


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