Data Scientist @ Advance Immigrations

Job Description

Overview The Data Scientist plays a crucial role in our organization, employing advanced analytical techniques to mine, analyze, and interpret large data sets. They are responsible for developing models, utilizing data visualization tools, and creating algorithms to provide valuable insights across various business functions. Key Responsibilities Use statistical techniques and machine learning methods to drive data-driven solutions. Collect, clean, and preprocess data from various sources. Develop predictive models and algorithms to solve complex business problems. Create data visualizations to communicate findings to stakeholders. Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. Conduct ad-hoc analysis and present results in a clear manner. Utilize big data tools and technologies for data processing and analysis. Enhance data collection procedures to include information relevant for building. analytical systems. Identify valuable data sources and automate collection processes. Build and maintain data pipelines for efficient data extraction and processing. Contribute to the development of best practices for data science at the organization. Stay updated with the latest technology trends in data science and apply them to operational processes. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Provide expert advice and recommendations on data analysis methods and techniques. Required Qualifications Fake & Damage Recognition,Skills: machine learning,python,data science,pytorch,tensorflow python Pytorch or tensorflow Segmentation and Detection models - UNet, Yolo, SAM alike models and algos Some knowledge of LLM(Large Language Models) Software engineering / Model Deployment General improvements support for the application: Windows and Linux service support. GPU and CPU code support. Support for standard CUDA library build. Ability to handle multiple services per machine, with a preference for GPU activation only when needed

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Statistics / Analytics
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist

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Keyskills:   machine learning python data science UNet SAM Software engineering CUDA pytorch tensorflow Yolo LLM Model Deployment