Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Your favourite games, every time.
Pragmatic Play is a leading supplier of content to the most successful global brands in the iGaming industry.
We work closely with software development and services company ARRISE to power up new possibilities of play through a single API, offering a multi-product portfolio of award-winning slots, live casino, bingo, virtual sports, sportsbook and more, available in all major regulated markets, languages and currencies.
Driven by a persistence to craft immersive entertainment experiences, we consistently deliver games that players love time and time again.
Join 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 You
You 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 Us
ARRISE, 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.
Required profile
Experience
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.