Bulge Bracket Investment Banks

Applied AI ML Associate Senior

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 25 days ago

No clicks

Compensation: Not specified
City: Bengaluru
Country: India

Senior Applied AI/ML associate within Asset & Wealth Management responsible for designing and delivering trusted data collection, storage, access, and analytics solutions. Develops, tests, and maintains critical data pipelines and end-to-end AI/ML solutions and productionizes models in collaboration with stakeholders and cross-functional teams. Focus areas include machine learning (supervised/unsupervised/semi-supervised), NLP, and Python-based model development using frameworks like TensorFlow, PyTorch, and scikit-learn. Coaches team members, documents models for stakeholders, and engages in R&D for innovative solutions.

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 at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

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
Collaborates 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
PhD/Masters in one of the above disciplines

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

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