- Prototype, validate, and implement AI/ML solutions on diverse and constantly evolving client datasets
- Apply the latest LLMs in Azure OpenAI and AWS Bedrock to tasks like: summarization, classification, entity extraction, text-to-query, language generation
- Develop RAG pipelines, semantic search, and hybrid search
- Create and implement new metrics, evaluation pipelines, and internal training/test datasets
- Survey, test, and critique use of emerging technologies to enhance existing solutions and develop new capabilities
- Share your work with clients and colleagues and to both technical and non-technical audiences.
Requirements
- 2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production
- Bachelor's degree or relevant experience
- High level of analytical programming competency (e.g., Python, R)
- Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques
- Ability to travel to clients and FTI office(s) as needed
- Must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship.
Core Competencies
Demonstrates expertise in developing and implementing AI/ML solutions, particularly in Natural Language Processing (NLP) and Information Retrieval (IR) systems. Proficient in utilizing Azure OpenAI and AWS Bedrock for various language tasks and capable of creating evaluation metrics and pipelines.
Highest-signal resume keywords
- NLP System Development
- Azure OpenAI
- AWS Bedrock
- Python Programming
- Deep Learning
ATS Optimization Keywords
Hard Skills
- AI/ML Solutions
- NLP
- IR Systems
- RAG Pipelines
- Semantic Search
- Hybrid Search
- Evaluation Pipelines
- Entity Extraction
- Language Generation
- Text-to-Query
Soft Skills
- Analytical Thinking
- Communication
Industry Keywords
- Client Datasets
- Emerging Technologies
- Production Systems
- Travel Requirement
- Full-Time Authorization