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Data Scientist - Computer Vision

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

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 large datasets, Solid understanding of foundational Deep Learning algorithms, Expertise in unit integration tests and CICD pipelines.

Key responsabilities:

Design and develop advanced ML algorithms for various data types
Develop and optimize pipelines in Azure for model training
Implement end-to-end applications in Python with testing
Continuously monitor system performance and troubleshoot issues
Collaborate with cross-functional teams to provide solutions

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

1001 - 5000 Employees

See more Pragmatic Play offers

Job description

Description

Position at ARRISE

About Us:

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of over 6,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success.

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with 6,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!

The Role:

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

What we give you in return: