- Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development
- Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives
- LLM Pipeline Creation Strong experience in designing data pipelines including data preprocessing feature extraction and model integration
- Familiarity with best practices for creating efficient and scalable pipelines
- Leadership Skills Proven leadership capabilities to guide and mentor a team of developers
- Ability to provide technical direction solve challenges and inspire innovation within the team
- Technology Machine Learning Generative AI for Data Analytics
- Knowledge of more than one technology
- Basics of Architecture and Design fundamentals
- Knowledge of Testing tools
- Knowledge of agile methodologies
- Understanding of Project life cycle activities on development and maintenance projects
- Understanding of one or more Estimation methodologies Knowledge of Quality processes
- Basics of business domain to understand the business requirements
- Analytical abilities Strong Technical Skills Good communication skills
- Good understanding of the technology and domain
- Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods
- Awareness of latest technologies and trends
- Excellent problem solving analytical and debugging skills
Technology->AI-Generative AI->Generative AI for Data Analytics
