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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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