Mid-Level Data Scientist

Mid-Level Data Scientist NucoreVision (NVI) - 3.2 Washington, DC Job Details Full-time 15 hours ago Qualifications Version control PyCharm Azure PyTorch Software deployment C# R Data reporting Git Java Databases Bachelor's degree Model deployment Data analytics Software testing IT Data science Keras Machine learning libraries Senior level AI Machine learning frameworks Jenkins MLOps Debugging Full Job Description •

PREREQUISITES

• Must be a US citizen Must Reside in the DMV Area (DC, Maryland, Virginia) Must have a minimum of 5-10 years Experience Bachelor's Degree Highly Preferred

PLEASE NOTE

No C2C Opportunities Background check is Mandatory for the position

General Job Description:

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).

Qualifications Years of Experience:

5+ years

Recommended Certifications:

Data analytics or AI/ML certifications preferred. Relevant federal IT experience, technical capability, and operational support experience aligned to assigned labor category.