Applied AI ML Associate Sr

As an Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology, you will play a crucial role in designing and delivering trusted market-leading technology products. Your primary responsibility will be to develop and deploy AI/ML solutions to tackle complex business problems, build robust data pipelines, and deliver advanced analytics by integrating data engineering with AI/ML techniques. Additionally, you will be involved in researching and developing innovative AI/ML techniques and providing program updates to stakeholders. Your tasks will also include implementing and managing efficient data pipelines using SDLC best practices, optimizing data extraction and reporting processes, and creating dashboards and monitoring tools to ensure data quality and performance. Key Responsibilities: - Develop and deploy AI/ML solutions to address complex business problems - Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques - Engage in research and development of innovative AI/ML techniques - Implement and maintain efficient data pipelines using SDLC best practices - Develop, optimize, and execute smooth data extraction, transformation, and reporting processes - Create dashboards and monitoring tools to support ongoing data quality and performance - Collaborate with stakeholders to understand business requirements and translate them into technical solutions - Operationalize end-to-end AI/ML solutions with team members - Collaborate with cross-functional teams to align with the organization's 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 The job also prefers candidates with familiarity with modern front-end technologies and exposure to cloud technologies.,