Arise
201 - 500 employees
📦 Logistics
🏥 Healthcare
✈️ Travel
Logistics • Healthcare • Travel
Arise is a leading provider of virtual customer experience solutions, leveraging cutting-edge technology to deliver flexible and exceptional customer service across a range of sectors including retail, travel, gaming, healthcare, BFSI, and energy and utilities. With its proprietary GigCX platform, Arise integrates advanced AI chatbots and sophisticated analytics to enhance omnichannel strategies, supporting businesses in adjusting to shifts in customer patterns and improving customer retention. The company focuses on creating flexible work opportunities and enabling work-from-home operations, thus contributing to improved operational efficiency and customer support quality.
Data Scientist
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🔥 5 minutes ago
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Arise
201 - 500 employees
📦 Logistics
🏥 Healthcare
✈️ Travel
Logistics • Healthcare • Travel
Arise is a leading provider of virtual customer experience solutions, leveraging cutting-edge technology to deliver flexible and exceptional customer service across a range of sectors including retail, travel, gaming, healthcare, BFSI, and energy and utilities. With its proprietary GigCX platform, Arise integrates advanced AI chatbots and sophisticated analytics to enhance omnichannel strategies, supporting businesses in adjusting to shifts in customer patterns and improving customer retention. The company focuses on creating flexible work opportunities and enabling work-from-home operations, thus contributing to improved operational efficiency and customer support quality.
📋 Description
• Design and prototype ML and deep learning models, primarily for computer vision tasks including object detection, classification, and tracking • Frame business problems as testable hypotheses and develop proofs-of-concept to validate them • Evaluate and benchmark competing model architectures and pre-trained models • Collaborate with ML Engineers to scale validated prototypes into production systems and remain engaged through deployment • Track experiments, manage model and data versioning, and define objective evaluation metrics • Work with product, engineering, and business teams to turn objectives into applied ML solutions
🎯 Requirements
• Master's degree in Electrical Engineering, Computer Science, or a related 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 such as 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 • Experience with benchmarking, ablation studies, and structured evaluation of competing approaches • Experience working with large, complex datasets • Experience collaborating with ML Engineers to bring models into production is nice to have • Experience with Azure, AWS, or GCP for ML training and deployment is nice to have • Familiarity with Docker and CI/CD pipelines is nice to have • Experience with Hugging Face Transformers, vision transformers, or self-supervised / representation learning is nice to have • Exposure to generative AI, including prompt engineering, RAG, LLM frameworks, or LLM fine-tuning is nice to have • Background in gaming, iGaming, e-commerce, or other consumer-facing applications at scale is nice to have
🏖️ Benefits
• Opportunities for professional and personal development • Collaborative, cross-functional environment with visible impact • End-to-end involvement from research and prototyping through to production • Work on substantial, real-world computer vision and deep learning problems at scale
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