*PREREQUISITES*
PLEASE NOTE:
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.