Senior AI/ML Engineer

December 20, 2023

Blanc Labs

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Next-Gen Fintech Automation

Digital Transformation • Cloud Enablement • Enterprise Integration • Digital Customer Experience • Data-Powered Insights

51 - 200

💰 Venture Round on 2016-12

Description

• Develop and apply algorithms based on Natural Language Processing, Machine Learning (LLMs like GPT/ChatGPT), & Knowledge Graphs to extract, process & analyze information from unstructured documents • Develop and apply algorithms for classifying, extracting, and redacting structured, semi-structured, and unstructured documents • Work in a team to create scalable, reusable and performant data-oriented applications • Convey technically difficult concepts in a clear and understandable way • Evaluate the latest methods and technologies and support the design of data & analytics platforms and governance infrastructures • Continuously improve quality and performance while owning applications from idea to operations

Requirements

• Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience) • At least 6 years of experience in applying natural language processing in a business-relevant context, in production environments • Expert understanding of Natural Language Processing, Machine Learning / Deep Learning as applied to Natural Language • Experience in Intelligent Document Processing classification and extraction algorithms and techniques is a plus • Excellent programming skills in Python, including mastering the standard libraries for NLP, machine learning and data science; knowledge of one other programming language (e.g., Java, JavaScript) is a plus • Experience in search (e.g., Elasticsearch, MongoDB), semantic technologies (e.g., Vector Databases), and chatbots is considered a plus • Strong desire to learn & upskill at the intersection of data, science & industry • Experience with Cloud technologies like Microsoft Azure (e.g., Databricks, Azure DevOps, Azure ML), CI/CD using e.g., git, Jira, docker, Azure MLOps • Agile software development using Scrum/Kanban

Benefits

• Exciting opportunity to shape the future of Machine Learning and Data Science • Contribute to the success of the AI/ML transformation • Work with global enterprises • Empower clients to enhance their digital offerings • Bring creative solutions to the market faster