Job Title: Lead AI/ML Engineer Location: Washington, DC Employment Type: Contract About Us: DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success. Job Purpose: We are looking for a highly experienced and hands-on Lead AI/ML Engineer to spearhead the development and implementation of cutting-edge machine learning and generative AI solutions. This position plays a key leadership role in shaping AI capabilities across the organization, mentoring team members, and driving the adoption of scalable, cloud-native platforms. The ideal candidate has deep technical knowledge across supervised and unsupervised learning, MLOps, LLMs, and AI infrastructure automation. Requirements: Key Responsibilities:: Architect and build machine learning models including regression, classification, clustering, time-series forecasting, and ensemble methods. Design and train neural network architectures (e.g., CNNs, RNNs, LSTMs) tailored to diverse data sets and business objectives. Develop Generative AI applications using Large Language Models (LLMs) and foundation models; apply techniques such as prompt engineering, LoRA, and PEFT. Write high-quality, production-level code in Python, leveraging JupyterLab and VSCode. Deploy ML solutions on cloud-native infrastructure using Docker, Kubernetes, and cloud services (AWS, Azure); utilize Git for version control. Oversee the complete machine learning lifecycle, including model serialization (Pickle, Joblib, ONNX) and API deployment via FastAPI and serverless frameworks. Build internal AI tools and user interfaces using Streamlit, and apply modern front-end skills (HTML, CSS, JavaScript). Promote adoption of Databricks for AutoML, workflow automation, and scalable ML pipelines. Conduct advanced data processing, feature engineering, and visualization using tools such as pandas, polars, NumPy, scikit-learn, seaborn, and PyTorch. Lead and mentor junior engineers, support AI literacy across departments, and ensure technical alignment with business needs. Required Skills & Experience:: Strong background in designing and deploying machine learning and AI systems in production environments. Extensive hands-on experience with supervised, unsupervised, and deep learning algorithms. Proficient in Python, with a focus on developing scalable, maintainable code. Experience implementing and fine-tuning Generative AI and LLM-based solutions. Solid understanding of MLOps practices and deployment pipelines using Docker, Kubernetes, and cloud services (AWS, Azure). Familiarity with tools for model versioning, API integration, and serverless infrastructure. Practical knowledge of Databricks and ML workflow automation. Expertise in data visualization, exploratory analysis, and storytelling through data. Strong leadership and mentoring capabilities with the ability to foster cross-functional collaboration.