Bengaluru, Karnataka, India
1 day ago
Applied AI ML Associate

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.


 

As a Applied AI/ML Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.

 

Job responsibilities

 

Engages with stakeholders and understanding business requirementsDevelops AI/ML solutions to address impactful business needsWorks with other team members to productionize end-to-end AI/ML solutionsEngages in research and development of innovative relevant solutionsDocuments developed AI/ML models to stakeholdersCoaches other AI/ML team members towards both personal and professional successCollaborating with other teams across the firm to attain the mission and vision of the team and the firm

 

Required qualifications, capabilities, and skills

 

Formal training or certification on data science concepts and 2+ years applied experienceExperience in the application of AI/ML to a relevant fieldDemonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervisedStrong experience in natural language processing (NLP) and its applicationsSolid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projectsPrevious experience in working on Spark, Hive, and SQL

 

Preferred qualifications, capabilities, and skills

 

Financial service background

 

 
 
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