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.
