The Senior Engineer designs and implements AI‐driven technical solutions and configures applications across environments to solve complex business problems. With partial/full ownership of AI/ML production platforms, the Senior Engineer ensures environment stability, rapid resolution of production issues, and continuity of critical ML services.
Requirements
- Architect, design and develop AI‐enabled backend services using Python and/or Java.
- Build scalable microservices that integrate ML models (training, inference, monitoring).
- Own the full development lifecycle—analysis, design, implementation, testing and L3 support.
- Partner closely with Data Science teams to productionize models and optimize performance.
- Participate in strategic evolution of platform architecture, MLOps pipelines and cloud infra.
- Implement feature engineering, data ingestion workflows, and model serving APIs.
- Work with peer teams to deliver successfully on integration points across AI/ML systems.
- Contribute to SL3 production issue investigation and resolution.
- Document requirements, design decisions, APIs and architecture.
- Collaborate with QA teams to automate testing of new and existing AI functionality.
- Mentor junior developers and guide them on best engineering and ML engineering practices.
Benefits
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above