AI Engineer
SiGMA World
full-time
Posted on:
Location Type: Hybrid
Location: Limassol • Cyprus
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About the role
- Designs, builds, and deploys AI‑powered features across event platforms, mobile apps, exhibitor tools, and iGaming‑related systems.
- Implements AI models for use cases such as: personalised event recommendations, predictive attendee behaviour, automated content generation, intelligent matchmaking between attendees and exhibitors, real‑time event insights and anomaly detection.
- Integrates AI capabilities into existing systems using APIs, cloud services, and custom pipelines.
- Introduces AI‑assisted tools to improve productivity across engineering, marketing, operations, and customer support.
- Implements automation solutions such as: AI‑driven workflow optimisation, automated tagging, summarisation, and content enhancement, intelligent customer support chatbots, AI‑assisted QA and testing tools.
- Evaluates emerging AI platforms and tools to ensure the organisation stays ahead of industry trends.
- Collaborates with data engineers and data scientists to prepare datasets for training, validation, and inference.
- Builds and maintains pipelines that support real‑time and batch AI workloads.
- Ensures data quality, consistency, and compliance with privacy and regulatory requirements.
- Develops AI solutions tailored to the unique dynamics of live events and iGaming audiences.
- Supports real‑time inference systems capable of handling high‑traffic spikes during major events.
- Builds AI features that enhance attendee engagement, exhibitor value, and partner insights.
- Ensures AI systems follow responsible‑AI principles, including fairness, transparency, and explainability.
- Implements secure‑by‑design practices for all AI components.
- Ensures compliance with data‑privacy regulations and responsible‑gaming requirements where applicable.
- Works closely with product managers, designers, engineers, and event teams to translate business needs into AI‑powered solutions.
- Communicates technical concepts clearly to non‑technical stakeholders.
- Supports internal teams in adopting AI tools and understanding AI‑driven insights.
Requirements
- Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
- Experience with cloud‑based AI platforms and APIs
- Understanding of data engineering, distributed systems, and real‑time processing
- Familiarity with AI‑assisted development tools and emerging AI technologies
- Strong problem‑solving and analytical skills
- Ability to work effectively in cross‑functional teams
- Experience with event‑driven or iGaming data is a plus
- Educated to degree level in a numerate or technical discipline, Masters preferred.
- 5-7+ years of technical experience in AI engineering, machine learning, software engineering, or related fields
- 1-2+ years of management or mentorship experience, such as leading AI projects or guiding junior engineers
- Proven track record of delivering AI‑powered features or automation solutions
- Experience working with event data, digital engagement metrics, or iGaming systems
- Background in deploying AI models into production environments
- Experience with MLOps, CI/CD for AI, and scalable cloud architectures
Benefits
- Free iGaming Academy access - Learn the ins and outs of the industry with access to courses.
- Travel perks - Visit our international offices and attend industry events worldwide.
- Performance rewards - High performers are recognized and fast-tracked with annual reviews and bi-yearly performance checks ins.
- Interest-free car loan after probation (T&Cs apply)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTensorFlowPyTorchScikit-learnAI engineeringmachine learningMLOpsCI/CD for AIcloud-based AI platformsdata engineering
Soft Skills
problem-solvinganalytical skillscross-functional teamworkcommunicationmentorshipleadership
Certifications
degree in numerate or technical disciplineMasters preferred