Machine Learning Engineer

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/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.

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.

Nice to Have:

• 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