Job description

Job Description


Roles and responsibilities

  • Lead AI deployment activities, work with AI team to perform solution designing, architecting of automation solutions involving chatbots, AI
  • Lead the chatbot solutions end to end delivery, continuously enhance the chatbot performance through data analytics.
  • Be an active back-ups for one or more technologies within the team, drive innovation mindset
  • Lead development efforts in Python, work closely with engineering team to deploy AI solutions in Docker, AKS containers.
  • Create solution prototypes involving cloud infrastructure
  • Build AI models in python, jupyter notebook, Watson or Azure machine learning platforms, chatbot frameworks, power automate, etc.
  • Strong working knowledge in Deep Learning, Computer Vision libraries in python.
  • Lead development efforts in Python, Java, create REST APIs in cloud and lead deployment of automation solutions.

Competencies and skills required

  • Experience in developing AI/Machine learning solutions that are deployed in a production setting.
  • Strong experience in NLP, experience in deploying solutions with BERT and Transformers in NLP.
  • Strong python coding experience, experience in Azure Data Bricks and Azure platforms,
  • Exoperience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Experience in Python based AI/Machine learning frameworks and toolchains such as Scikit learn, Keras, Tensorflow, Pytorch, Spacy and Anaconda.
  • Experience with development environments and tools such as SQL, Git, Linux and Docker.
  • Previous experience in deploying end-to-end AI/ML solutions will be advantageous.
  • Understanding of cloud and on-premise infrastructure, experienced on Azure Cloud and Jboss server
  • Good understanding of chatbot solutions either in Azure Framework, IBM Watson
  • Good programming skills in the areas of Java, Javscript and SQL
  • Good Understanding of insurance business processes
  • Analytical & Innovation mindset

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