Our client in Washington, DC is seeking a highly skilled and hands-on Lead AI/ML Engineer to drive the design, development, and deployment of advanced machine learning and generative AI solutions. This role will serve as a technical leader, guiding cross-functional teams in building scalable, high-performing AI/ML systems across a modern cloud-native environment. The ideal candidate will bring deep expertise in supervised/unsupervised learning, MLOps, large language models, and modern coding practices, while also mentoring junior engineers and shaping platform-wide AI capabilities.

Key Responsibilities:

• Design and implement machine learning models including regression, classification, clustering, time-series forecasting, and boosting algorithms

• Build and optimize neural networks (CNNs, RNNs, LSTMs) for diverse data and use cases

• Develop and integrate Generative AI solutions using LLMs and foundation models; apply techniques like prompt engineering, LoRA, and PEFT

• Write advanced, production-grade Python code; develop in JupyterLab and VSCode

• Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS, Azure); manage version control with Git

• Manage the end-to-end ML lifecycle including model serialization (Pickle, Joblib, ONNX), API deployment with FastAPI, and serverless infrastructure

• Build internal tools and AI interfaces using Streamlit and modern front-end technologies (HTML/CSS/JavaScript)

• Champion Databricks adoption to enable AutoML, pipeline automation, and scalable development

• Perform robust data processing, visualization, and storytelling using tools like pandas, polars, NumPy, scikit-learn, seaborn, and PyTorch

• Mentor junior team members, foster self-service AI/ML capabilities, and collaborate across teams to align technical solutions with business goals

Required Skills : AI

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No