XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSenior
Augsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhe
from 76,000 / year
New Job?Nejo!
Your personal AI career agent
VEVercana GmbH
Data Engineer – Drilling & Well Operations(m/w/x)
Karlsruhe
Full-timeOn-siteExperienced
Green Job
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- SQL
- Python
- Pandas
- NumPy
- Scikit-learn
- LLMs
- Prompt Engineering
- RAG
- GitHub
- Copilot
- ChatGPT
Benefits
Competitive Pay
- Attractive compensation package
Purpose-Driven Work
- Responsible position
Informal Culture
- Creative freedom
- Collegial, appreciative team
Learning & Development
- Individual training and development
Mentorship & Coaching
- Targeted mentoring
Modern Office
- Modern working environment
Job Security
- Long-term prospects
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vercana GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- arconsis IT-Solutions GmbH
Senior Software Engineer AI/Cloud(m/w/x)
Full-timeOn-siteSeniorKarlsruhe - FC-Gruppe
Projektleitung Energiesystemsimulation & Intelligente Optimierung(m/w/x)
Full-timeOn-siteSeniorKarlsruhe - Arteus Energy GmbH
Software Engineering Intern - Renewable Energy Scaleup(m/w/x)
Full-timeInternshipOn-siteKarlsruhe - Cinemo
Postdoctoral Researcher – Machine Learning, Data Science & Cloud Platforms(m/w/x)
Full-timeOn-siteNot specifiedKarlsruhe
VEVercana GmbH
Data Engineer – Drilling & Well Operations(m/w/x)
Karlsruhe
Full-timeOn-siteExperienced
Green Job
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- SQL
- Python
- Pandas
- NumPy
- Scikit-learn
- LLMs
- Prompt Engineering
- RAG
- GitHub
- Copilot
- ChatGPT
Benefits
Competitive Pay
- Attractive compensation package
Purpose-Driven Work
- Responsible position
Informal Culture
- Creative freedom
- Collegial, appreciative team
Learning & Development
- Individual training and development
Mentorship & Coaching
- Targeted mentoring
Modern Office
- Modern working environment
Job Security
- Long-term prospects
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vercana GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Vercana GmbH
Industry
Engineering
Description
Das Unternehmen setzt auf die Planung und Realisierung anspruchsvoller Bohrprojekte mit modernster Technologie. Es erschließt Energiequellen für eine klimafreundliche Zukunft.
Not a perfect match?
- XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year - arconsis IT-Solutions GmbH
Senior Software Engineer AI/Cloud(m/w/x)
Full-timeOn-siteSeniorKarlsruhe - FC-Gruppe
Projektleitung Energiesystemsimulation & Intelligente Optimierung(m/w/x)
Full-timeOn-siteSeniorKarlsruhe - Arteus Energy GmbH
Software Engineering Intern - Renewable Energy Scaleup(m/w/x)
Full-timeInternshipOn-siteKarlsruhe - Cinemo
Postdoctoral Researcher – Machine Learning, Data Science & Cloud Platforms(m/w/x)
Full-timeOn-siteNot specifiedKarlsruhe