Job Description
Requirement:
- Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or Ph D in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must have Skills and Experience
- Excellent communication skill and should be able to frame problem statement into analytical approaches
- Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
- Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications.
- Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them.
- Familiarity with NLP concepts.
- Exposure on Generative AI and retriever augmented generation use cases
- Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or Ph D in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must have Skills and Experience
- Excellent communication skill and should be able to frame problem statement into analytical approaches
- Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
- Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications.
- Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis with hands on experience on some of them.
- Familiarity with NLP concepts.
- Exposure on Generative AI and retriever augmented generation use cases
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