Applied AI/ML Lead

1 week ago

Hyderabad, Telangana, India JPMorganChase Full time ₹ 15,00,000 - ₹ 20,00,000 per year

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
  • Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions.
  • Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies.
  • Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
    Promote software and model quality, integrity, and security across the organization.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments.
  • Hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript.
  • Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies.
  • Experience in cloud platforms such as AWS, GCP, or Azure.
  • Knowledgeable in machine learning frameworks, ML Ops tools and practices.
  • Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation).
  • Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search).
  • Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD).
  • Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks.
    Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills

  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

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