Senior AI/ML Data Scientist (PUBLIC TRUST CLEARANCE REQUIRED)

Senior AI/ML Data ScientistKey Required Skills:Strong knowledge of AI/ML/LLM, RAG, SQL, Python, NLP, AWS, and Generative AI.Position Description: ​Hands-on experience in Python, RAG, NLP, ML, and Generative AI Well-versed in SQL and analyzing trends and transactional data. Understand real-world challenges and develop automated data solutions Develop, test, and deploy new techniques for NLP understanding Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs) Train and optimize NLP/LLM models and create Python-based pipelines Experience building cloud native solutions on AWS Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution. Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem. Collaborate with data collectors and analysts to identify and close gaps in complex monitoring problems. Provide accurate, timely, complex, and sophisticated data analysis. Skills Requirements:(Basic Qualifications) Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience in RAG LLM, Python, NLP, data science, AI/ML/LLM engineering. Overall 10+ years' experience in the IT industry Must be able to obtain and maintain a Public Trust (contract requirement). The selected candidate is required to work on-site in Woodlawn, MD, five days a week as a condition of employment.FACTORS TO HELP YOU SHINE(Required Skills)These skills will help you succeed in this position: Experience with NLP, Generative AI, and LLMs. Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex., Pandas, NumPy, matplotlib), and ML frameworks Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and Amazon Web Services EC2. Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search. Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models. Experience with ML model deployment and operations like DevOps, MLOps, and LLMOps. Experience with NLP and Generative AI libraries like regular expressions (e.g., Spacy, langchain), text annotation tools, and semantic frameworks. Ability to clean and process large amounts of real-world data. Experience retrieving and manipulating data from a variety of data sources, including DB2, Oracle, SQL Server, Hadoop, and flat files. Experience with database management systems (e.g., PostgreSQL, MySQL, SQLite, SQL, etc.) Excellent analytical skills to identify potential risks and propose effective solutions. Excellent problem-solving skills, ability to collaborate with cross-functional teams, and proven communication in written and verbal formats to various audiences to include executive leadership. (Desired Skills)Showcase your knowledge of modern development through the following experience or skills: Prior experience with federal or state government IT projects. Industry experience preferred Experience building an AI chatbot. Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala, and Hive. Experience working in an analytical research environment. Experience in parallel processing, such as GPU programming with CUDA Experience with Mathematica Experience using markup languages such as LaTeX, HTML, etc. Experience with Natural Language Processing for anomaly detection Education: ​Bachelor's degree with 12+ years of experience Must be able to obtain and maintain a Public Trust. Contract requirement. Job Types: Full-time, Contract Pay: Up to $89.00 per hour Education: High school or equivalent (Required) Experience: AI/ML/LLM: 9 years (Required) RAG: 9 years (Required) SQL: 9 years (Required) Python: 9 years (Required) NLP: 9 years (Required) AWS: 9 years (Required) Generative AI: 9 years (Required) building cloud native solutions : 9 years (Required) data science: 9 years (Required) IT industry: 9 years (Required) scalable data engineering frameworks : 9 years (Required) Security clearance: Confidential (Required) Ability to Commute: Windsor Mill, MD 21244 (Required) Work Location: In person