Data Scientist

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🕒 June 18

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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 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

🎯 Requirements

• 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 • 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 • Experience with Huggingface Transformers, Elastic Stack, Gitlab CI pipelines • Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), LLM frameworks (LangChain, LlamaIndex, Haystack, ...), and fine-tuning LLMs

🏖️ Benefits

• Opportunities for growth • Professional development