Machine Leaning Developer with AI & Python

About Us:- Net2Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title – Machine Leaning Developer with AI & Python Location – Sheffield, UK Mode of Work – Hybrid 3 Days Onsite per Week Type of Hiring – Fixed Term Contract (FTC) Project Duration – 6-12 Months Skills Mandatory Skills : Azure Machine Learning Required experience:: • MUST HAVE Strong experience in Document AI Intelligent document processing using traditional models and Generative AI particularly in using open-source models for achieving business outcomes • Experience delivering to production in python with a focus on machine learning deep learning natural language processing generative AI image processing and OCR all additional positives • Experience with some of the following frameworks TensorFlow Pytorch Hugging face Spacy OpenCV Regex or equivalents • Experience delivering safe code to production focusing on cybersecurity and resilience of the application and APIs Nice to Have: • Experience using PostgreSQL for data storage and management • Proficiency with Azures core services like Azure Virtual Machines and experience with one or all of Azure CLI Azure Kubernetes Service AKS and Azure DevOps • Experience delivering in teams releasing at a high cadence to production Principal responsibilities: • Building production ready models to drive content extraction and classification from images and text-based sources • Working closely with business teams to understand requirements and iteratively design and develop solutions • Collaborative with product managers technical teams • Create test and iterate new and existing products and features • Designing and building Python MLOCR based components • Not only supporting the development of the product but also the full lifecycle including the deployment testing and production support of the application