Applied AI ML Associate at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, GenAI, Agentic AI, NLP, ML, Large Language Models, Statistical Analysis, Deep Learning, Model Training, Model Evaluation, Model Deployment, Prompt Engineering, Model Finetuning, Data Analysis, Cloud-Centric Software, Collaboration

Industry

Financial Services

Description

Join our dynamic team of innovators and technologists as a Applied AI/ML Associate, where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities Develops and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Collaborates with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation. Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process. Collects and curates datasets for model training and evaluation. Performs experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results. Monitors and improve model performance through feedback and active learning. Collaborates with technology teams to deploy and scale the developed models in production. Delivers written, visual, and oral presentation of modeling results to business and technical stakeholders. Stays up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement. Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Degree (BS or MS) in a quantitative or technical discipline or significant practical experience in industry. Advanced python programming skills with experience writing production quality code Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc. Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace. Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation. Familiarity with latest development in deep learning frameworks. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities, and skills Prior experience of developing solutions for Financial domain Exposure to distributed model training, and deployment Familiarity with techniques for model explainability and self validation

Responsibilities

The Applied AI/ML Associate will develop and implement AI solutions to enhance automation and decision-making processes. They will collaborate with stakeholders to identify business needs and apply machine learning techniques to improve workflow efficiency.