Job responsibilities
- Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
- Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
- Maintain consistent code check-ins every sprint to ensure continuous integration and development.
- Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases ,LLM finetuning and multi agent orchestration.
- Communicate technical concepts and solutions effectively across all levels of the organization.
Required Qualifications, Capabilities, and Skills
- Master's/Bachelor’s degree in a STEM field and 3+ years of experience in designing and managing large-scale AI & ML platforms and supporting systems.
- Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Hands-on experience in Databricks ML lifecycle development.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
Preferred Qualifications, Capabilities, and Skills
- Real-time model serving experience with Seldon, Ray, or AWS SM is a plus.