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13d 6h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
ci/cdcloud_servicescomputer_visiondeep_learning+4
6d 6h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
awsazureci/cddocker+3
10d 16h ago

Data Scientist

Quora·Data Scientist (AI/ML) · Technology
📡Fully Remote
$122k - $173.1k USD
analyticsmodelingpythonr
13d 2h ago

Senior Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$135k - $165k USD
awsazuredatabricksdeep_learning+7
13d 2h ago

Principal Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$190k - $235k USD
deep_learningml_algorithmsmlopsnatural_language_processing+1

Data Scientist

ARRISE | Data Scientist (AI/ML) | iGaming
Fully Remote
Full Time
Position:
Data Scientist

Company:
ARRISE

Location:
Malta

Employment type:
Not Specified

Work Arrangement:
Global remote

Short Summary:
Join ARRISE's Data Science team as a Data Scientist focusing on applied research in computer vision, developing prototypes, and collaborating with ML Engineers to scale solutions.

Responsibilities:
- Design and prototype ML and deep learning models, primarily in computer vision (object detection, classification, tracking).
- Frame business problems as testable hypotheses and develop proofs-of-concept.
- Evaluate and benchmark model architectures and pre-trained models.
- Collaborate with ML Engineers to scale prototypes into production systems.
- Track experiments, manage model and data versioning, and define evaluation metrics.
- Work with product, engineering, and business teams to create applied ML solutions.

Requirement:
- Master's degree in Electrical Engineering, Computer Science, or a related quantitative discipline.
- Hands-on experience with ML and deep learning models, particularly in computer vision.
- Strong proficiency in Python and a deep learning framework (PyTorch or TensorFlow).
- Experience with computer vision models for object detection, image classification, and tracking.
- Solid grounding in deep learning, traditional computer vision, and classical ML.
- Strong experimentation mindset: benchmarking, ablation studies, and structured evaluation.
- Experience with large, complex datasets.

Benefits:
- Work on substantial, real-world computer vision and deep learning problems at scale.
- End-to-end involvement from research and prototyping to production.
- Opportunities for professional and personal development.
- A collaborative, cross-functional environment with visible impact.

Required Skills

ci/cdcloud_servicescomputer_visiondeep_learningdockerpythonpytorchtensorflow

Required Languages

🇬🇧 English

Key competency: Data Scientist (AI/ML)
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