Technology->Big Data->Big Data - ALL,Technology->data science->PYTHON,Technology->Machine Learning->Responsible AI
Technical Leadership: Lead the design, development, and deployment of AI/ML solutions. Architect scalable AI systems and ensure integration with existing platforms. Review code, mentor junior engineers, and enforce best practices in model development and deployment. Project Delivery: Collaborate with product managers, data engineers, and business stakeholders to define AI use cases. Manage project timelines, risks, and deliverables across multiple AI initiatives. Innovation & R&D: Stay current with emerging AI technologies and frameworks. Experiment with new algorithms, tools, and techniques to improve model performance and efficiency. Operational Excellence: Implement MLOps practices for model lifecycle management. Monitor model performance and ensure reliability, fairness, and compliance.
- Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
- Good knowledge on software configuration management systems
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Understanding of the financial processes for various types of projects and the various pricing models available
- Ability to assess the current processes, identify improvement areas and suggest the technology solutions
- One or two industry domain knowledge
- Client Interfacing skills
- Project and Team management
