Data Scientist

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Arise

WebsiteLinkedInAll Job Openings

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 develop advanced ML algorithms for image, text, audio, and tabular data • Develop and optimize Azure pipelines 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

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Strong proficiency in Python, PyTorch, and TensorFlow • Proven experience managing and analyzing large datasets • Solid understanding of foundational deep learning algorithms • Expertise in unit and integration testing with Pytest and CI/CD pipelines • Experience with data versioning, model management, experiment tracking, key evaluation metrics, and optimization techniques • Extensive knowledge and hands-on experience with Docker • Solid understanding of traditional computer vision and classical machine learning • In-depth experience with computer vision models for object detection, image classification, and segmentation • Experience with Azure services, including ML Studio, Data Factory, Functions, and Blob Storage, or equivalent cloud provider services • Knowledge of AWS services, especially EC2 and S3 • Experience with Hugging Face Transformers, Elastic Stack, and GitLab CI pipelines • Experience with prompt engineering, retrieval-augmented generation (RAG), LLM frameworks such as LangChain, LlamaIndex, and Haystack, and fine-tuning LLMs

🏖️ Benefits

• Growth opportunities at all levels • Investment in employees • Strategic partnerships that open new opportunities for success