Overview
Skills
Job Details
Key Requirements
Strong Hands-on Expertise in:
Python (advanced usage & pipelines)
SQL (complex queries, data analysis)
NLP (Natural Language Processing)
Generative AI, LLMs, RAG (Retrieval-Augmented Generation)
AWS Cloud (EC2, scalable ML/AI solutions)
ML Model Development Supervised & Unsupervised Learning
MLOps/LLMOps (model deployment, scaling, maintenance)
Advanced Tools & Frameworks:
LangChain, spaCy, NLTK, PyTorch, TensorFlow, scikit-learn
GIT, Pandas, NumPy, Matplotlib
Airflow, Apache Spark
Semantic Search and Vector Embeddings
Database Expertise:
DB2, Oracle, SQL Server, Hadoop, PostgreSQL, MySQL
AI/NLP Use Cases:
Trend & Transactional Data Analysis
Text Analytics & Anomaly Detection
LLM Training, Tuning & Optimization
Automated Data Solutions for Real-World Challenges
Preferred/Bonus Qualifications
Prior Federal Government IT project experience (highly desired)
Built or contributed to AI Chatbots
GPU programming (CUDA)
Familiarity with Azure ML (optional)
Experience with LaTeX/HTML for reporting or annotation