REQUIRED QUALIFICATIONS:

• Strong background in Statistics and experience with Azure Open AI Service
• Hands-on experience in EDA Airflow and knowledge graph development
• Proficient in ML Ops machine learning and Cloud Auto ML
• Experience with Dialog flow OpenCV and artificial intelligence applications
• Skilled in natural language processing and deep learning frameworks like PyTorch and TensorFlow
• Experience in developing AI-enabled chatbots and using R Statistical Package and Python
  Certifications Required: Certified Data Scientist Azure AI Engineer Associate TensorFlow Developer Certificate.

ROLES AND RESPONSIBILITIES:

Lead the development and implementation of advanced statistical models and machine learning algorithms to solve complex business problems
Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets
Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
Apply Airflow for orchestrating complex data workflows and ensuring seamless data processing
Develop and maintain knowledge graphs to improve data connectivity and retrieval
Implement ML Ops practices to streamline the deployment and monitoring of machine learning models
Apply machine learning techniques to build predictive models and improve decision-making processes
Leverage Cloud Auto ML for automated machine learning model development and optimization
Design and develop AI-enabled chatbots using Dialog flow to enhance customer interactions
Apply OpenCV for computer vision tasks and image processing applications
Drive the application of artificial intelligence and natural language processing to solve real-world problems
Conduct deep learning research and development using frameworks like PyTorch and TensorFlow
Develop and deploy AI solutions for chatbot applications to improve user experience
Apply R Statistical Package and Python for data analysis and model development
Implement search engine optimization strategies to improve data visibility and accessibility