- Candidate should have 2+ years of hands-on experience as AI/Client engineer and should have proven experience in real implementation projects with respect to this skillset.
- Expertise in python is required
- Experience in data normalization, data cleansing, and data validation techniques
- Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation.
- Experience with Client/AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn or similar).
- Experience with working with both structured and unstructured data
- Knowledge of Azure related AI/Client services is preferrable
- Experience with building Python application and library development and RESTful web service API development
- Experience in the finance industry and familiarity with financial data sources is preferrable
- Candidate should have good knowledge in implementing best practices in AI/Client domain
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Python AI/ML developer - McLean, United States - eTeam
Description
Python AI/Client