ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 6 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Senior AI Engineer (Computer Vision)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior AI Engineer (Computer Vision): Designing, training, deploying, and maintaining production-grade computer vision and machine learning models for Live Casino platforms with an accent on fraud detection, real-time video analytics, and multimodal intelligence. Focus on building scalable MLOps pipelines, low-latency inference services, live video processing, and reliable deployment across cloud-native microservices.
Location: Birkirkara, Malta
Company
develops Live Casino platforms enhanced by production-grade AI and visual intelligence solutions.
What you will do
- Design, train, optimise, deploy, and maintain computer vision and machine learning models for production use.
- Build end-to-end AI/ML pipelines covering data ingestion, processing, training, validation, deployment, monitoring, and retraining.
- Process live video streams and camera feeds, including frame extraction, preprocessing, inference, post-processing, and performance optimisation.
- Develop low-latency inference services for real-time systems and high-concurrency environments.
- Establish MLOps tooling, engineering standards, observability, and operational practices for AI workflows.
- Collaborate with backend, platform, DevOps, infrastructure, and product teams on AI service integration within microservices architectures.
Requirements
- 5+ years of hands-on experience in machine learning, computer vision, or AI engineering.
- Strong Python skills and experience with PyTorch, TensorFlow, OpenCV, and related detection or tracking libraries.
- Production experience building, deploying, and maintaining ML or computer vision models.
- Understanding of model training, evaluation, optimisation, object detection, OCR, and anomaly detection.
- Experience with real-time video processing, streaming, low-latency inference, MLOps, and model lifecycle management.
- Familiarity with Docker, Kubernetes, cloud platforms, APIs, distributed systems, and microservices; excellent English communication abilities.
Culture & Benefits
- Opportunities for personal growth and learning.
- Open, inclusive, and supportive working environment.
- 24 days of paid holiday annually in addition to local public holidays.
- Life assurance at twice the annual salary and private medical insurance.
- β¬400 annual wellness allowance and β¬80 monthly lunch allowance.
- Team-building opportunities, limited parking, and local discounts.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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