Scoring Format:
1. Roles & Responsibilities: 0/10
2. Years of Experience: 0/10
3. Education Qualification: 8/10
4. Skills/Knowledge: 4/10
5. Domain/Industry: 0/10
6. Key Competencies: 4/10
7. Certifications: 0/10

Descriptive Analysis:
Overall Summary:
The candidate's resume does not align well with the job requirements. While they have a relevant educational qualification and some technical skills, they lack experience, domain knowledge, and certifications in the required areas.

- Roles & Responsibilities: The resume does not provide any information about the candidate's experience in building automation pipelines, using AI models, or collaborating with data scientists. Therefore, it is not relevant to the job requirements.
- Years of Experience: The resume does not mention the candidate's years of experience, making it difficult to assess their fitment in this aspect.
- Education Qualification: The candidate has a Master's degree in Machine Learning and a Bachelor's degree in Information Technology, which are relevant to the job requirements. This demonstrates their educational background in the field.
- Skills/Knowledge: The candidate mentions skills in Python, SQL, and various Python frameworks, which are relevant to the job requirements. However, they do not mention specific skills related to AI architectures, IDP, RAG, GenAI technologies, Neural Networks, or NLP. Therefore, their skills are only somewhat relevant.
- Domain/Industry: The resume does not provide any information about the candidate's knowledge of the US Mortgage origination & servicing domain, making it not relevant to the job requirements.
- Key Competencies: The candidate's resume does not provide enough evidence or context to assess their key competencies related to the job requirements. Therefore, their fitment in this aspect is average.
- Certifications: The resume does not mention any relevant certifications related to the required skills, making it not relevant to the job requirements.

Overall, the candidate's resume lacks experience, domain knowledge, and relevant certifications. While they have a relevant educational qualification and some technical skills, their fitment to the job requirements is limited.