Data Scientist

Malta

Pragmatic Play

Pragmatic Play is a leading provider of game content to the iGaming industry, offering innovative, regulated and mobile-focused gaming products.

View all jobs at Pragmatic Play

Apply now Apply later

Position OverviewJoin ARRISE, a leading supplier of player-favorite content to the iGaming industry, as a dynamic and dedicated Data Scientist. In this demanding yet rewarding role, you will leverage cutting-edge technologies like computer vision, natural language processing, and deep learning to redefine the gaming experience. With a laser focus on excellence, you will push your limits to deliver advanced solutions, collaborating with cross-functional teams on complex challenges. About YouYou are a passionate and self-driven Data Scientist who thrives in a fast-paced environment. Your analytical mindset and strong problem-solving and communication skills allow you to easily navigate complex problem statements. You are driven by innovation and eager to stay updated on the latest trends in recommender systems, machine learning, and data engineering. Mistakes are growth opportunities, and you approach them with a positive, learning-focused attitude. What You Will Do
  • 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
Required Qualifications and Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Strong proficiency in Python, PyTorch, and TensorFlow
  • Proven experience in managing and analyzing large datasets
  • Solid understanding of foundational DL algorithms
  • Expertise in unit and integration tests (Pytest) and CICD pipelines
  • Experience with data versioning, model management, experiment tracking, key evaluation metrics, and optimization techniques
  • Extensive knowledge and hands-on experience in Docker
  • Solid understanding of traditional Computer Vision and classical ML
Nice to Have
  • In-depth experience with computer vision models for object detection, image classification, and segmentation
  • Experience with Azure services (ML Studio, Data Factory, Functions, Blob Storage) or equivalent cloud provider services
  • Knowledge of AWS (Amazon Web Services) services, especially EC2 and S3
  • Experience with Huggingface Transformers, Elastic Stack, Gitlab CI pipelines
  • Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), LLM frameworks (LangChain, LlamaIndex, Haystack, ...), and fine-tuning LLMs
Benefits
  • Highly competitive salary
  • Detailed company training on the highest standards
  • Friendly and supportive culture
  • Tremendous growth opportunities in a large, fast-moving international company

 

About UsARRISE, a leading supplier of player-favorite content to the iGaming industry. We are a software development and services company delivering end-to-end digital solutions. Headquartered in Gibraltar with offices around the world, including Malta, Romania, India, Canada, and Bulgaria, we are a global team of over 5,000 talented individuals with decades of experience across multiple industries and professions. Together, we form a cross-functional powerhouse that is driven to deliver.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Data Science Jobs

Tags: AWS Azure Classification Computer Science Computer Vision Deep Learning Docker EC2 Engineering GitLab Haystack HuggingFace LangChain LLMs Machine Learning Model inference NLP Pipelines Prompt engineering Python PyTorch RAG Recommender systems TensorFlow Transformers

Perks/benefits: Career development Competitive pay

Region: Europe
Country: Malta

More jobs like this