Job Duties:
- Design, train, and optimize regression, classification, and clustering models to uncover patterns in complex datasets. Implement deep learning architectures using TensorFlow, PyTorch, Keras for predictive analytics
- Develop state-of-the-art NLP models using GPT, BERT, T5, and Hugging face transformers for tasks like text generation, summarization, and information retrieval
- Perform data cleaning, normalization, encoding, and dimensionality
- reduction to enhance model accuracy. Engineer custom features to improve predictive performance in applications. Optimize data pipelines for real-time processing and large-scale analytics
- Deploy machine learning models on AWS and Azure. Implement containerized solutions using Docker and Kubernetes for scalable AI applications. Utilize serverless computing for efficient model execution
- Develop predictive models for fraud detection, risk assessment, and customer segmentation. Utilize graphic analytics for network-based insights
- Build interactive dashboard using Tableau, Power BI, or D3.js to communicate insights. Automate report generation with Python, R, or SQL.
- Work closely with cross-functional teams to integrate AI-driven solutions into business workflows. Communicate technical concepts effectively to nontechnical stakeholders. Drive data-driven strategies to optimize decision making
Location: Anywhere in USA
Please submit your resume and cover letter to: hr@praisetechsol.com
Job Category: Data Scientist
Job Type: Full Time
Job Location: USA