Applied AI ML Associate Sr

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 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.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies