Deltia

Solutions Engineer

• Partner with SDRs and AEs to win deals by bringing credibility in operations, CI, and Lean.
• Lead discovery sessions to understand current processes, bottlenecks, and improvement opportunities.
• Translate real-world factory workflows into clear use cases and value stories for prospects.
• Support pilots and deployments with the Improvement team to demonstrate measurable ROI.
• Build playbooks for value quantification, before-after analysis, and operational storytelling.
• Work with multiple stakeholders (ops, quality, engineering, production, CI, plant managers).
• Help expand existing customers by identifying new use cases and improvement pathways.
• Feed insights from the field back into Product to shape our roadmap.

Manufacturing Solution Engineer – AI Startup

Data Analyst

• Collaborate with manufacturing customers to analyse production data and uncover performance drivers
• Work closely with AI and backend engineers to define, test and refine data pipelines, features and quality metrics
• Build clear, reliable dashboards and reports that highlight process efficiency, bottlenecks and improvement areas
• Identify anomalies or optimisation opportunities that feed back into our product’s analytics layer
• Write clean, well-structured code for data processing and analysis — maintainable, reviewable, and production-aware
• Act as the bridge between Customer Success, Product and Engineering

Manufacturing Data Analyst

Backend Engineer

• Develop and maintain backend features and APIs for our core platform
• Improve database performance, reliability and real-time data processing
• Debug, profile and optimise code to keep latency low and systems stable
• Collaborate with AI, frontend and product teams to integrate new capabilities
• Contribute to architectural decisions and shape the evolution of our backend stack

DevOps Engineer

• Build and operate the infrastructure behind our ML pipelines and video data processing tools
• Manage GPU clusters, model deployment and continuous training workflows
• Design and maintain CI/CD for ML — automating builds, testing and releases
• Orchestrate and monitor distributed systems for stability and performance
• Collaborate with data scientists to bridge research and production — enabling reproducible, scalable experiments
• Continuously improve system reliability, observability and fault tolerance

Manufacturing Solution Engineer – AI Startup

Manufacturing Data Analyst

Backend Engineer

MLOps / DevOps Engineer