Informacje o stanowisku

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 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.

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.

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 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.

,[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. Requirements: AI, Open source, Python, Machine learning, Deep learning, Natural language processing, TensorFlow, PyTorch, spaCy, Cybersecurity, PostgreSQL, Storage, Azure Cli, Azure Kubernetes Service

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