Mid-Level Data Scientist
About The Position
Supports data analysis, predictive modeling, AI/ML initiatives, and operational analytics activities supporting enterprise reporting and decision-making objectives. Expertise with deep learning frameworks/tools such as TensorFlow, PyTorch/ PyCharm and Keras. Fluent in data science programming languages such as Python, R and at least one other programming language, e.g., Java, C#, especially on Graphics Processing Unit (GPU). Hands-on experience with Azure Artificial Intelligence (AI) services (Azure Machine Learning [ML], Azure Cognitive Search, Azure OpenAI). Deep understanding of Large Language Model (LLM) architectures and fine-tuning techniques. Experience with Retrieval Augmented Generation (RAG) frameworks (LangChain, LlamaIndex, Semantic Kernel). Knowledge of vector databases and embedding models. Familiarity with Machine Learning Operations (MLOps) practices (Continuous Integration/Continuous Deployment [CI/CD], monitoring, model lifecycle management). In-depth knowledge of software/engineering lifecycle and principles (source control/git, debugging, testing, Jenkins, deployment, model retraining, CI/CD).
Requirements
- Must be a US citizen
- Must Reside in the DMV Area (DC, Maryland, Virginia)
- Minimum of 5-10 years Experience
- Bachelor's Degree
- Expertise with deep learning frameworks/tools such as TensorFlow, PyTorch/ PyCharm and Keras.
- Fluent in data science programming languages such as Python, R and at least one other programming language, e.g., Java, C#, especially on Graphics Processing Unit (GPU).
- Hands-on experience with Azure Artificial Intelligence (AI) services (Azure Machine Learning [ML], Azure Cognitive Search, Azure OpenAI).
- Deep understanding of Large Language Model (LLM) architectures and fine-tuning techniques.
- Experience with Retrieval Augmented Generation (RAG) frameworks (LangChain, LlamaIndex, Semantic Kernel).
- Knowledge of vector databases and embedding models.
- Familiarity with Machine Learning Operations (MLOps) practices (Continuous Integration/Continuous Deployment [CI/CD], monitoring, model lifecycle management).
- In-depth knowledge of software/engineering lifecycle and principles (source control/git, debugging, testing, Jenkins, deployment, model retraining, CI/CD).
- 5+ years of experience
- Relevant federal IT experience, technical capability, and operational support experience aligned to assigned labor category.
Nice To Haves
- Data analytics or AI/ML certifications preferred.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
