We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Applied AI ML Associate Sr  at JPMorganChase within the Corporate Technology , 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.

Job responsibilities

Develop and deploy AI/ML solutions to address complex business problems and impactful needs.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.Create, document, and deliver AI/ML program updates for stakeholders.Implement and maintain efficient data pipelines using SDLC best practices.Develop, optimize, and execute  for smooth data extraction, transformation, and reporting.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.Work with team members to operationalize end-to-end AI/ML solutions.Collaborate with cross-functional teams to align with the mission and vision of the organization.

 

 Required qualifications, capabilities, and skills

Formal training or certification on Applied AI ML Associate Sr  concepts and 3+ years applied experienceProven 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.

  

Preferred qualifications, capabilities, and skills

 

Familiarity with modern front-end technologiesExposure to cloud technologies