Applied AI / ML Associate Sr

As a Machine Learning and Python Senior Engineer at JPMorgan Chase within the Asset and Wealth Management Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be involved in the development and deployment of AI/ML solutions to drive business value. Your role includes designing, developing, and deploying state-of-the-art AI/ML/LLM/GenAI solutions that align with business objectives. You will conduct thorough evaluations of Gen AI models, iterate on model architectures, and implement improvements to enhance overall performance across applications. Additionally, you will develop appropriate testing frameworks for models and guide India team developers through the Machine Learning Development Lifecycle (MDLC). Collaboration is key in this role, as you will work directly with the US Core Client Service AI team to drive AI implementations from India. You are expected to collaborate with cross-functional teams to understand requirements and translate them into technical solutions. It is essential to stay updated with the latest trends and advancements in data science, machine learning, and related fields to continuously enhance your skills and knowledge. In terms of qualifications, capabilities, and skills, you are required to have formal training or certification in Computer Science, Engineering, or a related field with at least 3 years of applied experience. Proficiency in programming skills, particularly in Python, is necessary. Hands-on experience in applied AI/ML engineering, leading developers, and working in a fast-paced environment is crucial. You should also be proficient in programming languages like Python for model development, experimentation, and integration with Azure OpenAI API. Strong collaboration and communication skills are essential to work effectively with geographically spread cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Problem-solving and analytical skills with a keen attention to detail are highly valued. Experience with cloud platforms for deploying and scaling AI/ML models is advantageous. Preferred qualifications include experience in backend development, knowledge of SRE practices, and exposure to cloud automation technologies. Additionally, familiarity with large language models (LLMs), databases, programming languages, web frameworks, APIs, and microservices is beneficial. You should be able to assess and choose suitable LLM tools and models for various tasks, curate custom datasets, fine-tune LLM models, and design advanced LLM prompts. Your role may involve executing experiments to push the capability limits of LLM models and enhance their dependability.,