REQUIRED EXPERIENCE:

• 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.

PREFERRED EXPERIENCE:

• Experience using PostgreSQL for data storage and management.
• Proficiency with Azure’s 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.

WHO WE ARE:

Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services.

ROLE OVERVIEW:

This is an exciting opportunity to join our Consulting Department in Sheffield as a Machine Learning Developer, where you’ll contribute to innovative, data-driven projects that help clients solve complex business challenges through AI and machine learning solutions. If you’re passionate about AI and eager to apply your skills in a fast-paced, client-focused environment, we’d love to hear from you.

ROLE 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/ML/OCR-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.