Data Scientist

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🕒 August 4

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ARRISE

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🎮 Gaming

🤝 B2B

Gaming • B2B

ARRISE is a global software developer and services company focused on the iGaming industry. With more than 11,000 professionals across 14 locations, they design and build casino products including award-winning slot games, immersive live-casino experiences, and high-performance platform solutions that scale from concept through execution. ARRISE combines creative game design and technical engineering to drive player engagement and support operators and partners in the online gambling sector.

📋 Description

• Design and prototype ML and deep learning models, primarily for computer vision tasks including object detection, classification, and tracking • Frame business problems as testable hypotheses and develop proofs-of-concept to validate them • Evaluate and benchmark competing model architectures and pre-trained models • Collaborate with ML Engineers to scale validated prototypes into production systems and remain engaged through deployment • Track experiments, manage model and data versioning, and define objective evaluation metrics • Work with product, engineering, and business teams to turn objectives into applied ML solutions

🎯 Requirements

• Master's degree in Electrical Engineering, Computer Science, or a related quantitative discipline • Hands-on experience developing ML and deep learning models, including demonstrated computer vision work • Strong proficiency in Python and a deep learning framework such as PyTorch or TensorFlow • Experience with computer vision models for object detection, image classification, and tracking • Solid grounding in deep learning, traditional computer vision, and classical ML • Experience with benchmarking, ablation studies, and structured evaluation of competing approaches • Experience working with large, complex datasets • Experience collaborating with ML Engineers to bring models into production is nice to have • Experience with Azure, AWS, or GCP for ML training and deployment is nice to have • Familiarity with Docker and CI/CD pipelines is nice to have • Experience with Hugging Face Transformers, vision transformers, or self-supervised / representation learning is nice to have • Exposure to generative AI, including prompt engineering, RAG, LLM frameworks, or LLM fine-tuning is nice to have • Background in gaming, iGaming, e-commerce, or other consumer-facing applications at scale is nice to have

🏖️ Benefits

• Opportunities for professional and personal development • Collaborative, cross-functional environment with visible impact • End-to-end involvement from research and prototyping through to production • Work on substantial, real-world computer vision and deep learning problems at scale