Cognizant
Python/Gen AI Developer
CognizantUnited States4 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Roles And Responsibilities

  • Develop and implement advanced machine learning models to solve complex business problems.
  • Utilize Azure Machine Learning and Azure Open AI Service to enhance data processing and model deployment.
  • Apply artificial intelligence techniques to improve decision-making processes.
  • Conduct natural language processing to extract insights from unstructured data.
  • Write efficient Python code to support machine learning and AI projects.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Analyze large datasets to identify patterns and trends that can inform business strategies.
  • Provide technical guidance and mentorship to junior data scientists.
  • Ensure the scalability and reliability of machine learning models in production environments.
  • Stay updated with the latest advancements in machine learning and AI technologies.
  • Communicate findings and recommendations to stakeholders through clear and concise reports.
  • Contribute to the continuous improvement of data science practices and methodologies.
  • Support the development of data-driven products and services that align with the company’s goals.

Qualifications

  • Possess a strong background in Azure Machine Learning, Azure Open AI Service, Machine Learning, Artificial Intelligence, Natural Language Processing, and Python.
  • Demonstrate experience in Investment Banking Operations and Investment Banking & Brokerage is a plus.
  • Exhibit excellent problem-solving skills and the ability to work independently.
  • Showcase strong communication skills to effectively convey technical concepts to non-technical stakeholders.
  • Have a proven track record of successfully deploying machine learning models in production environments.
  • Display a commitment to continuous learning and staying current with industry trends.
  • Show proficiency in data analysis and statistical methods.
  • Demonstrate the ability to work collaboratively in a hybrid work model.
  • Possess strong organizational skills and attention to detail.
  • Exhibit the ability to mentor and guide junior team members.
  • Show experience in developing data-driven solutions that drive business value.
  • Demonstrate the ability to manage multiple projects and meet deadlines.
  • Possess a passion for leveraging data to make a positive impact on the company’s objectives.

Key Skills

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