Applied AI ML Associate Sr

1 week ago


Bengaluru, Karnataka, India JPMorganChase Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 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

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.



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