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Senior AI Data Scientist (HUD)
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$120,773 / year median in Virginia
Job Description
A federal technology consulting company is seeking a Senior Data Scientist to join its team. The ideal candidate will have 10+ years of experience in data science, machine learning, or applied AI, with a background in designing, developing, and deploying enterprise-scale AI/ML solutions and exposure to areas such as predictive modeling, deep learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, experimentation, and AI governance. Experience with Python, Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow is wanted, and prior work with cloud platforms, big data technologies, federal AI governance frameworks, sensitive data environments, and production ML systems is preferred. U.S. citizenship is required, and a Public Trust clearance is preferred. Required Skills & Experience 10+ years of data science, ML, or AI experience Expert-level Python skills Machine learning, deep learning, and LLM experience RAG, vector databases, and generative AI tools MLOps and production model deployment Cloud platforms (AWS, Azure, GCP) Enterprise-scale AI and analytics delivery Statistics, experimentation, and model evaluation Bachelor's or Master's degree in a related field A degree in Computer Science, Engineering or a related field The Offer Competitive Hourly Rate Full-Health Benefits You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Required Skills & Experience 12-15 years of experience Cloud platforms (Azure, AWS, GCP), including FedRAMP environments AI/ML experience, including building and deploying production systems Expert-level Python development AI platforms and architectures (AWS Bedrock, Azure OpenAI Services, Google Vertex AI, RAG, agents) Success delivering enterprise-scale systems and modernization programs Background in microservices, APIs, distributed systems, and DevSecOps practices Ability to translate AI research into production system A degree in Computer Science, Engineering or a related field The Offer Competitive Hourly Rate Full-Health Benefits You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.