XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSenior
Augsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhe
ab 76.000 / Jahr
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
VEVercana GmbH
Data Engineer – Drilling & Well Operations(m/w/x)
Karlsruhe
VollzeitVor OrtBerufserfahren
Green Job
AI/ML
Nejo KI-Zusammenfassung
Designing real-time data pipelines for geothermal and lithium drilling rigs. Machine learning model development and data modeling for cost tracking experience required. Individual training and development, creative freedom.
Anforderungen
- Degree in Computer Science, Engineering, or comparable technical field
- Data engineering experience, ideally in industrial or energy environments
- Hands-on experience developing, training, and operationalizing machine-learning models
- Experience building data models for cost tracking and project controlling
- Ability to structure, process, and analyze large, heterogeneous datasets
- Working with cloud platforms (AWS)
- Strong analytical mindset and structured problem-solving skills
- Clear communication skills and ability to work effectively in interdisciplinary teams
- Basic understanding of drilling & well operations and key drilling parameters
- Solid expertise in SQL and experience with relational and time-series databases
- Strong proficiency in Python (e.g. Pandas, NumPy, Scikit-learn)
- Integrated LLMs into data workflows for structured data extraction
- Developed automated pipelines using Prompt Engineering and RAG
- Leveraging AI tools (e.g., GitHub, Copilot, ChatGPT) for code documentation, unit testing, and SQL optimization
Aufgaben
- Design reliable data pipelines for drilling and well operations
- Collect and process real-time rig data, including sensor and time-series data
- Ensure quality assurance of real-time rig data
- Implement automated data flows from rig systems to central data platforms
- Monitor automated data flows for reliability and performance
- Develop and validate machine-learning models for drilling parameter prediction
- Analyze daily drilling and operational data to identify performance, safety, and cost deviations
- Create data-driven insights to optimize drilling performance
- Develop automated operational cost-tracking solutions
- Establish solid data orchestration and data warehousing procedures
- Develop and maintain analytics, reporting, and dashboard workflows
- Continuously optimize analytics, reporting, and dashboard workflows
- Document data models, pipelines, and analytical outputs for operational use
- Integrate LLMs into data workflows to automate data extraction from unstructured sources
- Develop automated pipelines using Prompt Engineering and RAG
- Leverage AI tools to accelerate code documentation, unit testing, and SQL optimization
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- SQL
- Python
- Pandas
- NumPy
- Scikit-learn
- LLMs
- Prompt Engineering
- RAG
- GitHub
- Copilot
- ChatGPT
Benefits
Attraktive Vergütung
- Attractive compensation package
Sinnstiftende Arbeit
- Responsible position
Lockere Unternehmenskultur
- Creative freedom
- Collegial, appreciative team
Weiterbildungsangebote
- Individual training and development
Mentoring & Coaching
- Targeted mentoring
Modernes Büro
- Modern working environment
Sicherer Arbeitsplatz
- Long-term prospects
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vercana GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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VEVercana GmbH
Data Engineer – Drilling & Well Operations(m/w/x)
Karlsruhe
VollzeitVor OrtBerufserfahren
Green Job
AI/ML
Nejo KI-Zusammenfassung
Designing real-time data pipelines for geothermal and lithium drilling rigs. Machine learning model development and data modeling for cost tracking experience required. Individual training and development, creative freedom.
Anforderungen
- Degree in Computer Science, Engineering, or comparable technical field
- Data engineering experience, ideally in industrial or energy environments
- Hands-on experience developing, training, and operationalizing machine-learning models
- Experience building data models for cost tracking and project controlling
- Ability to structure, process, and analyze large, heterogeneous datasets
- Working with cloud platforms (AWS)
- Strong analytical mindset and structured problem-solving skills
- Clear communication skills and ability to work effectively in interdisciplinary teams
- Basic understanding of drilling & well operations and key drilling parameters
- Solid expertise in SQL and experience with relational and time-series databases
- Strong proficiency in Python (e.g. Pandas, NumPy, Scikit-learn)
- Integrated LLMs into data workflows for structured data extraction
- Developed automated pipelines using Prompt Engineering and RAG
- Leveraging AI tools (e.g., GitHub, Copilot, ChatGPT) for code documentation, unit testing, and SQL optimization
Aufgaben
- Design reliable data pipelines for drilling and well operations
- Collect and process real-time rig data, including sensor and time-series data
- Ensure quality assurance of real-time rig data
- Implement automated data flows from rig systems to central data platforms
- Monitor automated data flows for reliability and performance
- Develop and validate machine-learning models for drilling parameter prediction
- Analyze daily drilling and operational data to identify performance, safety, and cost deviations
- Create data-driven insights to optimize drilling performance
- Develop automated operational cost-tracking solutions
- Establish solid data orchestration and data warehousing procedures
- Develop and maintain analytics, reporting, and dashboard workflows
- Continuously optimize analytics, reporting, and dashboard workflows
- Document data models, pipelines, and analytical outputs for operational use
- Integrate LLMs into data workflows to automate data extraction from unstructured sources
- Develop automated pipelines using Prompt Engineering and RAG
- Leverage AI tools to accelerate code documentation, unit testing, and SQL optimization
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- SQL
- Python
- Pandas
- NumPy
- Scikit-learn
- LLMs
- Prompt Engineering
- RAG
- GitHub
- Copilot
- ChatGPT
Benefits
Attraktive Vergütung
- Attractive compensation package
Sinnstiftende Arbeit
- Responsible position
Lockere Unternehmenskultur
- Creative freedom
- Collegial, appreciative team
Weiterbildungsangebote
- Individual training and development
Mentoring & Coaching
- Targeted mentoring
Modernes Büro
- Modern working environment
Sicherer Arbeitsplatz
- Long-term prospects
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Vercana GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Vercana GmbH
Branche
Engineering
Beschreibung
Das Unternehmen setzt auf die Planung und Realisierung anspruchsvoller Bohrprojekte mit modernster Technologie. Es erschließt Energiequellen für eine klimafreundliche Zukunft.
Noch nicht perfekt?
- XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr - arconsis IT-Solutions GmbH
Senior Software Engineer AI/Cloud(m/w/x)
Vollzeitnur vor OrtSeniorKarlsruhe - FC-Gruppe
Projektleitung Energiesystemsimulation & Intelligente Optimierung(m/w/x)
Vollzeitnur vor OrtSeniorKarlsruhe - Arteus Energy GmbH
Software Engineering Intern - Renewable Energy Scaleup(m/w/x)
VollzeitPraktikumnur vor OrtKarlsruhe - Cinemo
Postdoctoral Researcher – Machine Learning, Data Science & Cloud Platforms(m/w/x)
Vollzeitnur vor OrtKeine AngabeKarlsruhe