High Salary Applied AI ML Associate Sr

2 weeks ago

Bengaluru, Karnataka, India JP Morgan Chase & Co. Full time
Job Description

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 onApplied 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

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