Bulge Bracket Investment Banks

Applied AI ML Associate Senior

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

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Compensation: Not specified
City: Bengaluru
Country: India

Senior Applied AI/ML Associate contributing quantitative, data science and analytical skills to design, develop and productionize AI/ML solutions. Collaborates with stakeholders and cross-functional teams to understand business requirements, build data pipelines, perform data wrangling and modeling, and document models for stakeholders. Strong emphasis on NLP, Python-based ML frameworks, and working with big-data tools such as Spark, Hive and SQL to deliver business impact in financial services.

Location: Bengaluru, Karnataka, India

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

As a

Applied AI/ML Senior 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 requirements
Develops AI/ML solutions to address impactful business needs
Works with other team members to productionize end-to-end AI/ML solutions
Engages in research and development of innovative relevant solutions
Documents developed AI/ML models to stakeholders
Coaches other AI/ML team members towards both personal and professional success
Collaborating 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 3+ years applied experience
Experience in the application of AI/ML to a relevant field
Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised
Strong experience in natural language processing (NLP) and its applications
Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects
Previous experience in working on Spark, Hive, and SQL

Preferred qualifications, capabilities, and skills

Financial service background

Develop, test, and maintain critical data pipelines and architectures across multiple technical areas

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