Data Scientist

Arrise
Malta
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Experimentation","Benchmarking","Structured evaluation","Collaboration","Problem solving"]

Join the applied-research computer vision team to frame open-ended problems as testable hypotheses, prototype and benchmark ML/deep learning approaches, and validate model performance. Work with ML engineers to scale validated prototypes into production systems, tracking experiments, model/data versioning, and evaluation metrics. Collaborate across product, engineering, and business to deliver applied ML solutions for object detection, classification, and tracking, with optional work across text and audio.

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FursaFursa
Arrise
Arrise
1 week ago

Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Join the applied-research computer vision team to frame open-ended problems as testable hypotheses, prototype and benchmark ML/deep learning approaches, and validate model performance. Work with ML engineers to scale validated prototypes into production systems, tracking experiments, model/data versioning, and evaluation metrics. Collaborate across product, engineering, and business to deliver applied ML solutions for object detection, classification, and tracking, with optional work across text and audio.
Location: Malta
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and prototype ML and deep learning models with computer vision as the primary domain (object detection, classification, tracking).
  • •Frame business problems as testable hypotheses and develop proofs-of-concept, iterating on results.
  • •Evaluate and benchmark competing model architectures and pre-trained models to select the best-fit approach.
  • •Collaborate with ML engineers to scale validated prototypes into production and remain engaged through deployment.
  • •Track experiments, manage model and data versioning, and define evaluation metrics to compare approaches objectively.

Key Requirements

  • •Master’s degree in a relevant field such as Electrical Engineering, Computer Science, or a quantitative discipline.
  • •Hands-on experience developing ML and deep learning models, including demonstrated computer vision work.
  • •Strong proficiency in Python and a deep learning framework (PyTorch or TensorFlow).
  • •Experience with computer vision models for object detection, image classification, and tracking.
  • •Strong experimentation mindset with benchmarking, ablation studies, and structured evaluation, plus experience with large, complex datasets.
Experience:IGamingComputer visionDeep learningMachine learningE-commerce
Education:Master's
Skills:ExperimentationBenchmarkingStructured evaluationCollaborationProblem solving
Tech Stack:PythonPyTorchTensorFlowComputer visionObject detectionImage classificationTrackingDockerCI/CDAzureAWSGCPHugging Face TransformersVision transformersSelf-supervised learningRepresentation learningPrompt engineeringRAGLLM frameworksLangChain

Company Brief

Arrise
Arrise provides a cloud platform that helps property owners, facilities teams and compliance managers centralize building safety, maintenance and regulatory documentation, automate inspections and workflows, and streamline reporting to reduce risk and ensure operational compliance.
Industry: Facility Management
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