Machine Learning Engineer

Job Title: Machine Learning Engineer

Department: Tech
Location: Cyprus / Serbia / Armenia / India
Employment Type: Full-time

About SiGMA Group

Founded in 2014 and headquartered in Malta, SiGMA Group now employs over 250 professionals across six global offices, including Malta, Cyprus, Serbia, São Paulo, Manila, and India. SiGMA is a global leader in gaming, emerging tech, affiliate marketing, events, and media, best known for its marquee summits like SiGMA Malta and iGaming Academy. The company’s culture champions inclusivity, sustainability, collaboration, and philanthropic impact under its SiGMA Foundation initiative

About the role 

The Machine Learning Engineer is responsible for designing, building, deploying, and maintaining machine learning models and AI‑driven systems that enhance the Sigma Groups global event experiences, including major iGaming events. This role bridges data science and engineering, ensuring that AI solutions are production‑ready, scalable, secure, and aligned with business needs.

The ideal candidate combines strong software engineering skills with deep knowledge of machine learning, data pipelines, and modern AI tooling. They will play a key role in enabling the organisation’s AI strategy, supporting both internal automation and customer‑facing AI‑powered products and services.

Key Responsibilities  

ML Model Development & Deployment

• 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
• Implement smodel monitoring, retraining pipelines, and performance optimisation.

AI Tooling & Platform Integration

• 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.

Data Pipeline Engineering

• 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.
• Implements feature stores, data validation frameworks, and automated data‑quality checks.

Events & iGaming AI Applications

• 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.

Security, Compliance & Responsible AI

• 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.

Collaboration & Cross‑Functional Support

• 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.

Qualifications 

Key Skills & Competencies

• 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

Preferred Experience

• 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

Why SiGMA Group?

• Grow with us - Be part of SiGMA’s global expansion and make your mark.
• 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)