Applied AI ML Associate Sr

As an Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology, you will be part of an agile team designing and delivering trusted market-leading technology products. Your role involves developing and deploying AI/ML solutions to address complex business problems, building robust data pipelines, and delivering advanced analytics. You will engage in research and development of innovative AI/ML techniques, create program updates, and maintain efficient data pipelines. Collaboration with stakeholders to understand business requirements, operationalizing solutions, and aligning with organizational vision will be key aspects of your role. Key Responsibilities: - Develop and deploy AI/ML solutions to address complex business problems - Build robust data pipelines and deliver advanced analytics - Engage in research and development of innovative AI/ML techniques - Create, document, and deliver AI/ML program updates - Implement and maintain efficient data pipelines using SDLC best practices - Develop, optimize, and execute data extraction, transformation, and reporting - Create dashboards and monitoring tools to support data quality and performance - Collaborate with stakeholders to translate business requirements into technical solutions - Work with team members to operationalize end-to-end AI/ML solutions - Collaborate with cross-functional teams to align with organizational mission and vision Qualifications Required: - Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years of applied experience - Proven experience in data engineering and applied AI/ML - Strong skills in data wrangling, analysis, and modeling - Experience in developing scalable data systems and impactful AI/ML models - Ability to engage with stakeholders and translate business requirements into technical solutions - Strong collaboration skills to work across teams and drive strategic initiatives - Understanding of software quality, operational efficiency, and strategic goal achievement - Ability to address existing skill gaps and technical debt in data engineering and AI/ML - Experience in merging traditional data engineering with AI/ML-driven solutions Additional Company Details: - Exposure to cloud technologies and familiarity with modern front-end technologies are preferred qualifications, capabilities, and skills.,