Data Scientist
ARRISE is seeking a Data Scientist to design and develop advanced ML algorithms for image, text, audio, and tabular data. The role involves developing and optimising pipelines in Azure to train models across various domains and implementing end-to-end applications in Python, including unit and integration tests.
ARRISE expects the successful candidate to continuously monitor system performance and troubleshoot issues. Collaboration with cross-functional teams is essential to produce solutions to complex problems. The role also includes developing common packages and tools for logging, model inference, and more.
- Design and develop advanced ML algorithms for image, text, audio, and tabular data.
- Develop and optimize pipelines in Azure to train models across various domains.
- Implement end-to-end applications in Python, including unit and integration tests.
- Continuously monitor system performance and troubleshoot issues.
- Collaborate with cross-functional teams to produce solutions to complex problems.
- Develop common packages and tools for logging, model inference, and more.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (required).
- Strong proficiency in Python, PyTorch, and TensorFlow (required).
- Proven experience in managing and analyzing large datasets (required).
- Solid understanding of foundational DL algorithms (required).
- Expertise in unit and integration tests (Pytest) and CICD pipelines (required).
- Experience with data versioning, model management, experiment tracking, key evaluation metrics, and optimization techniques (required).
- Extensive knowledge and hands-on experience in Docker (required).
- Solid understanding of traditional Computer Vision and classical ML (required).
- In-depth experience with computer vision models for object detection, image classification, and segmentation (required).
- Experience with Azure services (ML Studio, Data Factory, Functions, Blob Storage) or equivalent cloud provider services (required).
- Knowledge of AWS (Amazon Web Services) services, especially EC2 and S3 (required).
- Experience with Huggingface Transformers, Elastic Stack, Gitlab CI pipelines (required).
- Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), LLM frameworks (LangChain, LlamaIndex, Haystack, ...), and fine-tuning LLMs (required).
Pragmatic Play is a leading content provider to the iGaming industry, delivering a multi-product portfolio of online slots, live casino, bingo and virtual sports to operators worldwide. Founded in 2015 and headquartered in Gibraltar, it releases new titles at a high cadence and is certified across numerous regulated markets. It operates as part of the ARRISE group, which runs the live-casino studios and operational hubs across Europe, the Middle East and Latin America that power its games.