Applied AI ML Lead

2 weeks ago

Bengaluru, Karnataka, India Chase Bank Full time
Job Description

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

As a Applied AI ML Lead at JPMorgan Chase within Commercial and Investment Bank's Global Banking Tech Team, you will lead the development and deployment of scalable infrastructure for machine learning models. Your role will involve strategic planning, hands-on leadership, and collaboration with cross-functional teams to implement innovative solutions that enhance the firm's AI capabilities, with a strong emphasis on leveraging Databricks.

Job Responsibilities:

- Lead the design and implementation of scalable infrastructure for deploying machine learning models, utilizing Databricks and other cloud platforms.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver robust AI solutions.
- Develop and maintain CI/CD pipelines to automate the deployment and management of machine learning models.
- Ensure the scalability, performance, and reliability of deployed models, leveraging cloud infrastructure and best practices.
- Implement governance and security measures to ensure compliance with industry and regulatory standards.
- Stay up-to-date with industry trends and emerging technologies in MLOps, AI engineering, and Databricks.
- Provide training and support to teams on best practices in MLOps, AI deployment, and Databricks usage.

Required Qualifications, Capabilities, and Skills:

- Minimum 8+ years of experience as an MLE
- Extensive experience in ML Ops and AI engineering, with a focus on deploying scalable infrastructure for machine learning models.
- Experience in Databricks and cloud platforms such as AWS, Azure, or Google Cloud.
- Strong programming skills in Python and experience with CI/CD tools.
- Proven experience in leading teams and delivering AI solutions in an enterprise environment.
- Strong understanding of machine learning model deployment patterns and best practices.

Preferred Qualifications, Capabilities, and Skills:

- Experience with big data technologies and frameworks.
- Certification in Databricks, cloud platforms, or AI engineering is a plus.
- Experience working in agile development teams and using Object-Oriented programming languages.

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