Machine Leaning Developer
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
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 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.
MUST HAVE
Nice to Have:
Machine Leaning Developer
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
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 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.