Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ 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 usecases
Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ 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 usecases
Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ 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 usecases
