Lead AI/ML Engineer

Model Development & Implementation Evaluate, fine-tune, and implement machine learning models, including large language models (LLMs), focusing on adapting existing models to meet specific business needs. Build and train ML models, including defining preprocessing, feature engineering, validation strategies, and hyperparameter tuning. Analyze ML algorithms for suitability, assess error patterns, and develop strategies for continuous model improvement. Identify opportunities for transfer learning and relevant training datasets. Build data ingestion and transformation pipelines to support model training and deployment. Design and implement enterprise ML platforms, feature stores, and SDKs to support reproducible, scalable ML applications. Support the migration and monitoring of cloud-based NLP environments. Develop and evaluate AI-driven tools such as pull request classifiers and coding support tools. Architect and operationalize vectorization pipelines for structured and unstructured data. Collaborate with cross-functional teams, including engineers, data scientists, business analysts, and client partners. Build strong relationships with clients, understand their challenges, and propose tailored AI/ML solutions. Provide technical leadership in AI technologies, including GenAI, machine learning, deep learning, and natural language processing (NLP). Ensure the technical quality of AI solutions, including architecture, design, implementation, and deployment. Scope, plan, and manage complex AI projects from inception to delivery. Help AI product managers and business stakeholders understand the potential, limitations, and results of AI models. Minimum 7 years of experience in AI/ML engineering, software development, or related fields. Minimum 4 years of experience delivering GenAI solutions and scalable ML Ops platforms in enterprise and federal agency contexts. Minimum 4 years of software engineering foundation experience in Python. Minimum 4 years of experience in ML/AI platforms including Databricks, SageMaker, Snowflake, and Vertex AI. Minimum 3 years of experience with AI frameworks (such as TensorFlow, PyTorch) and building and deploying AI models​. Minimum 1 year of experience managing engineering teams and mentoring junior talent. Must be a U.S. Citizen with the ability to obtain a Putblic Trust clearance. AI / ML certification(s) from any of the MAAG Clouds / renowned 3rd party platforms Experience developing SDKs, CLI tools, and automation scripts. Exposure working with LLM Architecture / fine-tuning LLM's Knowledge of generative models, GAN's and transformer-based models Knowledge of ethical standards related to AI Proficiency in programming languages Strong communicator with the ability to engage technical and non-technical stakeholders. Active contributor to the broader AI/ML community.