JPMorgan Director Software Engineering Java AWS ML Ops 

India, Telangana, Hyderabad 

147639236

Job Responsibilities

• Play a pivotal role in defining and executing the bank's machine learning strategy to drive innovation and business growth.
• Manage a team of managers and individual contributors, fostering a collaborative and high-performance culture.
• Lead a talented team of machine learning engineers, collaborate with cross-functional stakeholders, and own the technical roadmap for developing a unified, scalable, secure, and reliable machine learning platform.
• Define and execute the vision, strategy, and roadmap for machine learning initiatives in alignment with the company’s business objectives.
• 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.
• Create the right team processes, structure, and systems to build and maintain high-quality code that powers our machine learning infrastructure.
• Promote software and model quality, integrity, and security across the organization.

Required qualifications, capabilities, and skills

• Formal training or certification in relevant concepts and 10+ years of applied experience. Additionally, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical challenges within your domain of expertise.
• 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 programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation).
• 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.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

• Experience working at the code level, with a strong understanding of software development practices.
• AWS Certified Solutions Architect, AWS Certified Developer, or similar certification