Cognizant | 1 days ago | Hyderabad

Responsibilities

Develop and implement machine learning models to solve complex business problems and enhance decision-making processes.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and scalability.
Conduct exploratory data analysis (EDA) to uncover trends and patterns that inform strategic initiatives.
Design and maintain data pipelines using Airflow to ensure efficient data processing and management.
Apply knowledge graph techniques to enhance data connectivity and retrieval.
Implement MLOps practices to automate and optimize the machine learning lifecycle.
Leverage OpenCV and deep learning frameworks like TensorFlow and PyTorch for computer vision projects.
Develop AI-enabled chatbots using Dialogflow and natural language processing techniques.
Utilize R Statistical Package and Python for data manipulation and statistical analysis.
Optimize search engine performance through data-driven SEO strategies.
Provide insights and recommendations to improve asset and wealth management processes.
- Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.

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