Machine Learning Engineer
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
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 companys 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 AIdriven 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 productionready 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 organisations AI strategy supporting both internal automation and customerfacing AIpowered 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
- AIassisted feature engineering
- intelligent monitoring and diagnostics
- Works with platform and data teams to ensure infrastructure supports scalable ML workloads.
- Contributes to the development of AIpowered internal tools and customerfacing 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 iGamingrelated tools.
- Implements feature stores data validation frameworks and automated dataquality checks.
Events & iGaming AI Applications
- Develops ML solutions tailored to the unique dynamics of live events and iGaming audiences.
- Supports realtime inference systems that handle hightraffic spikes during major events.
- Builds models that enhance attendee engagement exhibitor value and partner insights.
Security Compliance & Responsible AI
- Ensures ML systems comply with dataprivacy regulations and responsiblegaming requirements where applicable.
- Implements responsibleAI practices including bias detection explainability and ethical model usage.
- Collaborates with security teams to embed securebydesign principles into ML workflows.
Collaboration & CrossFunctional Support
- Works closely with data scientists data engineers product managers and platform teams to deliver endtoend AI solutions.
- Translates business requirements into technical ML specifications.
- Communicates model performance insights and tradeoffs to technical and nontechnical stakeholders.
Qualifications
Key Skills & Competencies
- Strong proficiency in Python and ML frameworks (TensorFlow PyTorch Scikitlearn)
- Experience with cloudbased ML platforms and MLOps tools
- Strong understanding of data engineering distributed systems and realtime processing
- Familiarity with AIassisted development tools and emerging ML technologies
- Excellent problemsolving and analytical skills
- Ability to work effectively in crossfunctional teams
- Experience with eventdriven 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 AIenabled 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 SiGMAs 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)
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
