About the Company
Camlin develops industrial technology and AI-driven systems used across the energy sector in more than 20 countries. Its work focuses on critical infrastructure, industrial sensor networks, and operational intelligence.
Responsibilities
•Design and build AI and data systems from early concept through model creation
•Work with data scientists, product managers, and domain experts to shape technical solutions
•Turn ambiguous business and operational problems into structured engineering plans
•Prototype and validate ideas quickly to reduce technical and product risk
•Build scalable data and ML workflows using modern cloud-native tooling
•Influence technical direction, architecture decisions, and product roadmap discussions
•Evaluate trade-offs between model accuracy, reliability, complexity, latency, and operational cost
•Drive measurable outcomes with clear KPIs and visible business impact
•Improve engineering quality, maintainability, and operational reliability across the stack
•Shape technical plans, mentor engineers, and take ownership of larger AI and data initiatives over time
Requirements
•Experience building real-world AI, ML, or data products
•Experience across data engineering and ML systems, not just isolated pipelines
•Comfortable working with uncertainty and evolving requirements
•Pragmatic engineering mindset focused on outcomes and business impact
•Ability to make and communicate trade-offs clearly
•Systems thinking that connects architecture, product goals, and operational constraints
•Strong communication skills with technical and non-technical stakeholders
•Collaborative approach and willingness to challenge assumptions constructively
•Not a good fit for candidates who primarily identify as pipeline-only or ETL-focused engineers, prefer fully specified requirements before starting, or want narrowly scoped responsibilities without product or technical ownership
Conditions
•25 Days of annual leave
•FitPass membership
•Private health insurance
•Internal Reward & Recognition Tool Kudos
•Hybrid permanent role with 3 days on-site and 2 days working from home
