Machine Learning Engineer
SiGMA World
full-time
Posted on:
Location Type: Hybrid
Location: Belgrade • Malta
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About the role
- Builds, trains, optimises, and deploy machine learning models for use cases such as: personalised event recommendations, attendee behaviour prediction, exhibitor and sponsor performance forecasting, churn and retention modelling, anomaly detection for event operations
- Implements model monitoring, retraining pipelines, and performance optimisation.
- Introduces and integrates AI tooling that enhances engineering and operational workflows, including: automated model evaluation, AI‑assisted feature engineering, intelligent monitoring and diagnostics
- Works with platform and data teams to ensure infrastructure supports scalable ML workloads.
- Contributes to the development of AI‑powered internal tools and customer‑facing features.
- Collaborates with data engineers to build and maintain robust data pipelines for model training and inference.
- Ensures data quality, consistency, and availability across event systems, CRM platforms, mobile apps, and iGaming‑related tools.
- Develops ML solutions tailored to the unique dynamics of live events and iGaming audiences.
- Supports real‑time inference systems that handle high‑traffic spikes during major events.
- Builds models that enhance attendee engagement, exhibitor value, and partner insights.
- Ensures ML systems comply with data‑privacy regulations and responsible‑gaming requirements where applicable.
- Implements responsible‑AI practices, including bias detection, explainability, and ethical model usage.
- Collaborates with security teams to embed secure‑by‑design principles into ML workflows.
- Works closely with data scientists, data engineers, product managers, and platform teams to deliver end‑to‑end AI solutions.
- Translates business requirements into technical ML specifications.
- Communicates model performance, insights, and trade‑offs to technical and non‑technical stakeholders.
Requirements
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
- Experience with cloud‑based ML platforms and MLOps tools
- Strong understanding of data engineering, distributed systems, and real‑time processing
- Familiarity with AI‑assisted development tools and emerging ML technologies
- Excellent 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 machine learning, AI engineering, or related fields
- 1-2+ years of management or mentorship experience, such as leading ML projects or guiding junior engineers
- Proven track record of deploying ML models into production environments
- Experience supporting AI‑enabled products or automation initiatives
- Background working with event data, digital engagement metrics, or iGaming systems
- Experience with MLOps, CI/CD for ML, 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-learnMLOpsCI/CD for MLdata engineeringreal-time processingmachine learningAI engineering
Soft Skills
problem-solvinganalytical skillscross-functional teamworkcommunicationmentorshipleadership
Certifications
degree in numerate or technical disciplineMasters preferred