Help design, build and continuously improve the client's online platform. Research, suggest and implement new technology solutions following best practices and standards. Take responsibility for the resilience and availability of various products. Be a productive team member.
## Requirements
- Design, develop and implement AI/ML solutions using Machine Learning, Deep Learning and Generative AI (GenAI) technologies
- Select appropriate algorithms, train models and perform hyperparameter tuning to optimize model performance and accuracy
- Develop and implement Large Language Model (LLM) and Generative AI solutions to address business requirements
- Convert AI/ML prototypes and proof-of-concepts into scalable, production-ready APIs and services
- Integrate AI/ML models with existing enterprise applications and business platforms
- Build, maintain and optimize scalable data ingestion pipelines, model training environments and production infrastructure
- Monitor deployed models for performance degradation, data drift and operational issues, and implement corrective actions as needed
- Ensure reliability, scalability and maintainability of AI/ML solutions in production environments
- Collaborate with data scientists, software engineers, product teams and business stakeholders to translate business challenges into AI-driven solutions
- Support the end-to-end AI/ML lifecycle, including model development, deployment, monitoring and continuous improvement