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Senior AI/ML Engineer Generative AI & NLP

Jobs via Dice

Woodlawn · On-site Full-time Senior Today

About the role

Job Description

We are seeking a highly experienced AI/ML Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). This role requires a strong combination of hands-on engineering, data science, and real-world problem-solving capabilities to design and deploy scalable AI solutions.

Key Responsibilities

  • Develop, test, and deploy advanced NLP and Generative AI solutions
  • Design and implement RAG (Retrieval-Augmented Generation) pipelines
  • Build scalable ML/LLM systems using Python-based frameworks
  • Analyze large-scale transactional and trend data using SQL
  • Train, fine-tune, and optimize LLM/NLP models
  • Develop cloud-native AI solutions on AWS
  • Build and maintain data pipelines and automation frameworks
  • Collaborate with cross-functional teams to solve complex data challenges
  • Provide insights, recommendations, and analytical solutions

Basic Qualifications

  • Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or related field
  • 10+ years of IT experience
  • Hands-on experience in Python, ML/AI, NLP, and RAG
  • Ability to obtain and maintain Public Trust clearance

Required Skills

  • NLP, Generative AI, LLMs
  • TensorFlow, PyTorch, scikit-learn
  • Python (Pandas, NumPy, Matplotlib)
  • SQL and data analysis
  • Apache Spark, Airflow
  • AWS (EC2 and related services)
  • MLOps / LLMOps / DevOps practices

Preferred Skills

  • Federal or state government project experience
  • AI chatbot development
  • Hadoop ecosystem (Spark, Hive, Impala)
  • GPU programming (CUDA)
  • Experience with LaTeX, HTML
  • NLP for anomaly detection

Security Requirement

  • Must be eligible to obtain and maintain Public Trust clearance

Skills

AWSApache AirflowApache SparkDevOpsEC2Generative AILLMsMLOpsNatural Language ProcessingNLPPandasPyTorchPythonRAGscikit-learnSQLTensorFlow

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