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 10+ 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
Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform 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.
Expert in machine learning, statisticalmethods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Strong on Generative AI with using ChatGPT and other LLMs with hands on experience. Well versed with Langchain/LLamaindex
Should have basic understanding of GenAI and RAG system
Good in Devops and expert in one Cloud ecosystem
Having experience of cloud environment like Azure-databricks and Azure Document Intelligence
Communicate results and educate others through reports and presentations.
Preferred candidates with Asset management experience
Responsibilities for Internal Candidates
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 10+ 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
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 10+ 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
Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform 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.
Expert in machine learning, statisticalmethods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Strong on Generative AI with using ChatGPT and other LLMs with hands on experience. Well versed with Langchain/LLamaindex
Should have basic understanding of GenAI and RAG system
Good in Devops and expert in one Cloud ecosystem
Having experience of cloud environment like Azure-databricks and Azure Document Intelligence
Communicate results and educate others through reports and presentations.
Preferred candidates with Asset management experience
Responsibilities for Internal Candidates
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 10+ 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
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 10+ 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
Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform 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.
Expert in machine learning, statisticalmethods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Strong on Generative AI with using ChatGPT and other LLMs with hands on experience. Well versed with Langchain/LLamaindex
Should have basic understanding of GenAI and RAG system
Good in Devops and expert in one Cloud ecosystem
Having experience of cloud environment like Azure-databricks and Azure Document Intelligence
Communicate results and educate others through reports and presentations.
Preferred candidates with Asset management experience
Responsibilities for Internal Candidates
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 10+ 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
