HiringCafe
Posted 9h ago

Data Scientist

@ Cognizant Technology Solutions
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North America
RemoteFull Time
Responsibilities:Develop models, Collaborate teams, Design pipelines
Requirements Summary:Strong statistics and ML background; hands-on with Azure OpenAI, Airflow, ML Ops, knowledge graphs, and ML/DL frameworks.
Technical Tools Mentioned:Azure OpenAI Service, Airflow, Knowledge Graph, ML Ops, Cloud AutoML, Dialogflow, OpenCV, TensorFlow, PyTorch, R, Python
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Job Description
 


 

Job Summary

Join our dynamic team as a Data Scientist where you will leverage your expertise in machine learning and artificial intelligence to drive innovative solutions. You will work closely with cross-functional teams to analyze complex data sets and develop predictive models. Your contributions will directly impact our companys growth and enhance our ability to deliver cutting-edge technology solutions to our clients.


 

Responsibilities

  • Develop and implement machine learning models to solve complex business problems and improve decision-making processes.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Utilize Azure Open AI Service to enhance the capabilities of AI-enabled chatbots and other applications.
  • Conduct exploratory data analysis (EDA) to identify trends patterns and insights from large datasets.
  • Design and maintain data pipelines using Airflow to ensure efficient data processing and integration.
  • Apply knowledge graph techniques to improve data relationships and enhance search engine optimization.
  • Implement ML Ops practices to streamline the deployment and monitoring of machine learning models.
  • Leverage Cloud AutoML and Dialogflow to develop and optimize conversational AI solutions.
  • Utilize OpenCV for computer vision tasks and enhance image processing capabilities.
  • Apply deep learning techniques using TensorFlow and PyTorch to develop advanced AI models.
  • Utilize R Statistical Package and Python for data analysis and statistical modeling.
  • Collaborate with stakeholders to ensure alignment of AI solutions with business objectives and goals.
  • Continuously explore and evaluate new AI technologies to keep the company at the forefront of innovation.
  • Provide technical guidance and mentorship to junior data scientists and team members.


 

Qualifications

  •  
  • Possess a strong background in statistics and machine learning with hands-on experience in AI technologies.
  • Demonstrate proficiency in Azure Open AI Service EDA and Airflow for data processing and analysis.
  • Have experience with knowledge graph and ML Ops for efficient model deployment and management.
  • Show expertise in Cloud AutoML Dialogflow and OpenCV for AI application development.
  • Exhibit strong skills in deep learning frameworks such as TensorFlow and PyTorch.
  • Be proficient in R Statistical Package and Python for data analysis and modeling.
  • Have a solid understanding of search engine optimization and its application in AI solutions.


 

Certifications Required

Certified Machine Learning Specialist Azure AI Engineer Associate