Job Title: Senior AI/ML Data Engineer

Introduction/Overview:
We are seeking a highly motivated and technically skilled Senior AI/ML Data Engineer to join our team. As a Senior AI/ML Data Engineer, you will work on real-world problems using algorithms and machine learning techniques. You will collaborate with a team of AI experts and contribute to projects such as Intelligent Document Processing, Retrieval-Augmented Generation, and Generative AI. This role requires expertise in Neural Networks, Machine Learning, and Document Indexing, particularly in the US Mortgage origination and servicing domain.

Roles & Responsibilities:
- Develop and maintain automation pipelines for CNN/RNN models and RAG techniques.
- Implement and optimize LLM (Large Language Models) and Small Language Models for Document Indexing and Data extraction.
- Drive automations and improvements in Intelligent Document Processing to reduce operational costs.
- Fine-tune RAG and LLM models to provide efficient solutions for text prompts and generative AI tasks.
- Collaborate with data scientists to tailor prompts and perform A/B testing and human evaluation using metrics such as fluency, coherence, creativity, and biases/errors.
- Contribute to prompt design, NLP, and GenAI model evaluation and engineering.
- Implement and follow best practices for prompt management and impact assessment.
- Communicate effectively with technical and non-technical audiences, explaining frameworks, tools, and problem-solving approaches.
- Explore multiple prompting approaches to generate creative outputs.

Years of Experience:
No Details Found

Education Qualification:
- Bachelor's or Master's degree in Engineering, IT, Computer Science, or a relevant field.

Skills/Knowledge:
- Proficiency in Python and SQL.
- Strong understanding of AI architectures, IDP, RAG, and GenAI technologies.
- In-depth knowledge of Neural Networks, Machine Learning algorithms, NLP, and transformers.
- Experience with Python frameworks such as Django, Flask, and Pyramid.
- Familiarity with API frameworks and Microservices.
- Working knowledge of AWS tools such as EC2, EMR, ECS, Docker, Lambda, and Sagemaker.
- Experience with AWS GenAI FMs, Bedrock, and Titan.
- Proficiency in relational SQL and NoSQL databases.
- Strong background in Machine learning, Deep learning, and cognitive areas such as NLP, Computer vision, image analytics, structured data analysis, unstructured data analysis, descriptive analytics, and prescriptive analytics.

Key Competencies:
- Strong programming expertise and AI architecture design and development skills.
- In-depth understanding of AI technologies and Python frameworks.
- Proficiency in AWS tools, SQL, and NoSQL databases.
- Solid understanding of machine learning and deep learning concepts.

Domain/Industry:
US Mortgage origination, servicing domain

Employment Type:
Full Time

Company Overview:
No Details Found

Benefits & Opportunities:
No Details Found

Location & Travel:
- Working hours: 2 PM - 11 PM IST, Monday to Friday.
- No travel required.