Description

Design, build, and deploy scalable NLP and Generative AI solutions on AWS.

This role is on-site.

Responsibilities

• Develop and deploy NLP and Generative AI applications using Python and LLM frameworks.
• Build scalable ML pipelines and cloud-native AI services on AWS.
• Train, optimize, and evaluate machine learning and NLP models for complex datasets.
• Implement MLOps/LLMOps practices for model deployment, monitoring, and maintenance.
• Analyze large datasets to extract trends and actionable insights.

Required Skills

• 10+ years of IT industry experience in Data Science, AI/ML, and NLP engineering.
• Strong proficiency in Python, SQL, Pandas, NLTK, and spaCy.
• Hands-on experience with Generative AI, LLMs, TensorFlow, and PyTorch.
• Knowledge of AWS cloud services and scalable data engineering tools (Spark, Airflow).
• Experience with semantic search and ML model deployment.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related field.

Preferred Skills

• Experience with federal or state government projects.
• Exposure to Hadoop ecosystem, GPU programming, or research environments.

Key Skills

Education

Not specified