Overview
Lead delivery of AI/ML-driven applications and platforms, including Java/Python-based systems with user interfaces, cloud-native deployments, machine learning platforms, and Generative AI solutions. Own end-to-end delivery with emphasis on execution discipline, scalability, reliability, and production support.
What you'll do
- Manage and mentor resources to meet chapter KPIs and upskill associates.
- Mentor software engineers and ensure high stability and avoid SME gaps.
- Help and drive discussions to build the technology roadmap for the chapter.
- Work with product management on refining and implementing the roadmap.
- Lead teams delivering AI/ML and Generative AI solutions integrated with enterprise applications.
- Drive end-to-end ownership of design, build, deployment, and production support.
- Ensure high-quality, scalable, and secure solutions aligned to business goals.
- Partner with cross-functional teams to define roadmaps and execute effectively.
- Establish and enforce strong engineering and operational standards.
- Own technology lifecycle management, including remediation and ensuring ongoing platform stability.
- Drive AI/ML initiatives by aligning with engineering goals.
- Work with Data Scientists and AI/ML Architects in driving solutions.
What you'll need
- Bachelor’s degree in computer science or related field.
- 15+ years of engineering experience including people management.
- Strong experience delivering AI/ML and Generative AI solutions is a MUST requirement.
- Strong hands-on experience with Java, Python, and Spring Boot-based application development.
- Experience building and deploying applications on AWS, including EKS/Kubernetes.
- Experience with AWS SageMaker and managing ML platforms and model lifecycle.
- Strong understanding of modern architecture patterns, APIs, and UI-driven applications.
- Experience leading teams in structured or hybrid delivery models is a MUST requirement.
- Strong stakeholder management and ability to operate in a matrixed organization.
Details
- Location: Bangalore, Karnataka.
- Shift timings: 11:00 am - 8:00pm.
- Category: Information Technology.
Read the full description and apply on the company’s own careers page.