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Data Scientist

Remote:

Full Remote

Work from:

Malta

Offer summary

Qualifications:

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.

Key responsabilities:

Design and develop advanced ML algorithms
Collaborate with cross-functional teams to produce solutions

Pragmatic Play Computer Software / SaaS Large https://www.pragmaticplay.com/

1001 - 5000 Employees

See all jobs

Job description

Description

Position at ARRISE

Position Overview

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.