Position Overview: We are seeking candidates with hands-on experience in Python, RAG LLM, NLP, ML, and Generative AI. The ideal candidate will be well-versed in SQL and skilled in analyzing trends and transactional data. You should possess the ability to understand real-world challenges and develop automated data solutions. Responsibilities include: - Developing, testing, and deploying new techniques for understanding Natural Language Processing (NLP). - Creating scalable methods for the development and deployment of Machine Learning (ML) and Generative AI approaches, specifically Large Language Models (LLMs). - Training and optimizing NLP/LLM models and building Python-based pipelines. - Designing cloud-native solutions on AWS. - Assessing analytic problems, evaluating options, and providing recommendations for resolution. - Advising on methods and available data to evaluate intelligence or data-related problems. - Collaborating with data collectors and analysts to identify and address gaps in complex monitoring issues. - Providing complex, timely, and accurate data analysis. Required Skills and Qualifications: Basic Qualifications: - Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science, along with industry experience in RAG LLM, Python, NLP, data science, and AI/ML/LLM engineering. - A minimum of 8 years of experience as a Data Scientist. - Must be able to obtain and maintain a Public Trust clearance, as this is a contract requirement. - Selected candidates must be willing to work on-site in Woodlawn, MD, five days a week. Key Skills for Success: - Experience with Natural Language Processing (NLP), Generative AI, and Large Language Models (LLM). - Proficiency in Python programming, including version control and collaboration using GIT, and familiarity with standard Python packages such as Pandas, NumPy, and Matplotlib, as well as ML frameworks. - Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and Amazon Web Services (AWS) EC2. - Experience with scalable data engineering frameworks like Apache Spark and orchestration frameworks such as Airflow, and/or semantic search. - Expertise in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate various supervised and unsupervised analytic models. - Experience in ML model deployment and operations such as DevOps, MLOps, and LLMOps. - Familiarity with NLP and Generative AI libraries, including 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 various 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. - Strong problem-solving skills, ability to collaborate with cross-functional teams, and effective communication skills in both written and verbal formats for various audiences, including executive leadership. Desired Skills: - Prior experience with federal or state government IT projects. - Industry-related experience. - Experience building an AI chatbot. - Willingness to learn about distributed processing via the Hadoop ecosystem (e.g., Spark, Impala, Hive). - Experience in an analytical research environment. - Knowledge of parallel processing, such as GPU programming with CUDA. - Experience using Mathematica. - Familiarity with markup languages such as LaTeX and HTML. - Experience with Natural Language Processing for anomaly detection. Education: - Bachelor’s degree with 12+ years of relevant experience. - Must be able to obtain and maintain a Public Trust clearance, as this is a contract requirement. Job Types: Full-time, Contract Pay: Up to $89.00 per hour Education: Bachelor's (Required) Experience: Python: 9 years (Required) RAG LLM: 9 years (Required) NLP (Natural Language Processing ): 9 years (Required) ML: 9 years (Required) Generative AI: 9 years (Required) SQL : 9 years (Required) AI/ML/LLM engineering: 9 years (Required) Data Scientist: 9 years (Required) Large Language Models (LLM): 9 years (Required) Python programming: 9 years (Required) version control : 9 years (Required) Security clearance: Confidential (Required) Ability to Commute: Windsor Mill, MD 21244 (Required) Work Location: In person