Gen AI/ML Engineer

Job Title: Gen AI/ML Engineer with Python and AWS

Job Location: Plano,TX (In-Person interview)

Duration: 3+Years

Visa: H1 transfers only

Job Description:

We are seeking a Senior Machine Learning Engineer with hands-on experience in GenAI, LLMs, and AWS to join internal AI initiative. This role focuses on building and deploying AI/ML applications based on pre-established architecture and existing PoCs. The ideal candidate will have the technical depth to work independently, quickly grasp the architectural framework, and drive the solution into production. This is a critical first hire, with the potential to shape the future team.

Project Highlights:
Greenfield AI initiative with completed PoCs this role is more in the build and implementation phase.
Working on LLM integration and building an internal tool for Fannie Mae.
Role offers direct engagement with stakeholders & product owners

Key Responsibilities:
Execute end-to-end implementation of AI/ML solutions using GenAI and LLMs.
Translate existing architectural designs into production-ready systems.
Act as a Sr. Developer for end-to-end implementation of GenAI/LLM solutions using existing PoCs and AI foundation models.
Collaborate with Product Owners, AWS, and LLM vendors to build internal AI applications.
Develop, integrate, and operationalize models in the Intelligent Document Processing (IDP) domain.
Implement and manage MLOps pipelines using tools like MLflow, AWS SageMaker, AWS Bedrock etc.
Ensure reliability, scalability, and performance of AI models in real-world environments.
Strong experience in building and deploying machine learning models in production environments.
Proven ability to work independently and as a key player in early-stage, strategic projects.

Required Qualifications:
Strong hands-on experience in AI/ML engineering, including MLOps and production deployments.
Expertise in Python, TensorFlow, scikit-learn, NumPy, PyTorch and general data engineering practices
Proficient in AWS ML services, including SageMaker, Lambda, and S3.
Practical experience with GenAI, LLMs, and prompt engineering.
Solid understanding of AI/ML architectural concepts and ability to quickly adapt to a pre-defined design.
Excellent communication and problem-solving skills; ability to work with cross-functional teams.

Nice-to-Have:
Experience with LLM fine-tuning (not required but beneficial).
Prior exposure to internal enterprise AI tool development.
Background in IDP or similar domains.