Enhance financial planning and strategic decision-making through cutting-edge data-driven solutions
Requirements
- Experience in productionizing Data Science, ML and GenAI Models
- Experience in designing scalable ML/GenAI applications incorporating Data Pipelines, Model Training, Inferencing, Versioning and Monitoring
- Experience in cloud platforms such as GCP and Azure
- Experience in implementing CI/CD pipelines using Jenkins and Devsecops processes using Code Quality Inspection tools such as Sonarqube and Synk
- Experience in creating Unit, End to End, Functional and Regression Testing Frameworks
- Experience in Backend development which includes API development using FastAPI/Flask, Cache using Redis, Asynchronous Job processing using Celery, and Message Brokers using RabbitMQ/Kafka/Google Pub/Sub
Responsibilities
- Lead a high-performing team to build GenAI, Agentic AI systems
- Build cross-functional partnerships to drive collaborative success
- Interface with users to collect requirement and feedback
Other
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field
- Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Tech leadership with teamwork spirit, quick adaptation to new environment
