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Cuclau.de
Cuclau.de

Senior AI pipeline engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

AI
Project management
Data
+14

Permanent role
2 days ago
Apply now

Company Description Cuclau.de is an AI-first engineering transformation company led by experienced senior engineers rather than consultants. A dedicated team of ten senior engineers audits client workflows and designs AI solutions that are shipped into production. The company focuses on measurable impact, enabling up to 70% faster delivery and up to 65% lower costs for engineering projects. Cuclau.de works closely with clients to modernize engineering processes, integrate AI into existing systems, and unlock sustainable efficiency gains.
Role Description The Senior AI Pipeline Engineer is a full-time remote role responsible for designing, implementing, and optimizing AI-driven solutions for pipeline engineering workflows. Day-to-day tasks include analyzing existing pipeline design and integrity processes, defining data and model requirements, and developing end-to-end AI pipelines that integrate with engineering software and tools. The role involves building and maintaining scalable data pipelines, validating calculations and models against engineering standards, and collaborating with other senior engineers to audit client workflows and translate business needs into technical solutions. The Senior AI Pipeline Engineer also supports deployment to production environments, monitors performance, and iteratively improves models and pipelines to increase reliability, safety, and efficiency.
Qualifications

  • Strong skills in Pipeline Engineering and Pipeline Design for industrial or energy-sector applications.
  • Experience with Corrosion analysis and management within pipeline systems.
  • Proficiency in engineering Calculations related to fluid flow, stress analysis, and safety factors.
  • Expertise in Pipeline Integrity assessment, monitoring, and risk mitigation.
  • Hands-on experience building AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.
  • Proficiency in relevant programming languages (e.g., Python) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is highly beneficial.
  • Familiarity with engineering standards and regulations applicable to pipeline design and integrity.
  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
  • Ability to work independently in a remote setting, communicate clearly with multidisciplinary teams, and manage multiple projects.
  • Experience collaborating with clients or stakeholders to define requirements and deliver production-grade technical solutions.

About Cuclau.de

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