AI Engineering Lead

4 days ago

White Plains, New York, United States Cognizant North America Full time
Job Overview

We are seeking a highly experienced Azure Open AI Service expert to lead our data science team. This role requires in-depth knowledge of machine learning, deep learning, and AI technologies.

About the Role

The successful candidate will be responsible for developing and implementing advanced data science models and algorithms to solve complex business problems. The ideal candidate will have expertise in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, TensorFlow, R Statistical Package, Python, and SEO.

Main Responsibilities
  • Lead the development and implementation of advanced data science models and algorithms.
  • Oversee the design and execution of exploratory data analysis (EDA) to uncover insights and patterns in large datasets.
  • Provide expertise in machine learning and deep learning techniques to develop predictive models and improve decision-making processes.
  • Utilize Azure Open AI Service and Cloud AutoML to build scalable AI solutions.
  • Implement and manage ML Ops practices to ensure the reliability and efficiency of machine learning workflows.
  • Develop and deploy AI-enabled chatbots using Dialogflow and other relevant technologies.
  • Apply natural language processing (NLP) techniques to analyze and interpret unstructured data.
  • Use OpenCV and other computer vision tools to develop image and video analysis solutions.
  • Integrate knowledge graph technologies to enhance data connectivity and context understanding.
  • Collaborate with cross-functional teams to ensure the successful deployment of data science solutions.
Qualifications
  • Possess a strong background in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, AI, NLP, Deep Learning, PyTorch, AI-enabled chatbot, TensorFlow, R Statistical Package, Python, and SEO.
  • Demonstrate experience in Supply Chain Management and Supply Chain - Consumer Goods is a plus.
  • Exhibit excellent problem-solving skills and the ability to work in a hybrid work model.
  • Showcase strong communication and collaboration skills to work effectively with cross-functional teams.
  • Hold a proven track record of successfully leading and implementing data science projects.
  • Display a commitment to staying updated with the latest industry trends and technologies.
  • Show proficiency in mentoring and guiding junior team members to achieve their full potential.
Estimated Salary: $120,000 - $175,000 per year

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