AI Tech Lead

Steampunk•McLean, VA

2d•$140,000 - $180,000

About The Position

Steampunk is seeking a seasoned AI Tech Lead to work with its team and clients to develop enterprise-grade predictive and generative AI solutions, applications, pipelines, and visualizations. The role spans the spectrum of data science development and calls for a technologist with excellent communication and customer service skills and a passion for data and problem solving. The AI Tech Lead will lead and mentor developers, architect scalable AI/ML systems, and guide the adoption of AI technologies across the organization. The role includes designing end-to-end machine learning pipelines, integrating models into production, translating complex algorithms into production-ready code, and implementing MLOps practices. The lead will establish sound engineering practices, stay current with AI/ML advances, and ensure data privacy and ethical AI guidelines are followed. The role contributes to the growth of Steampunk’s AI & Data Exploitation Practice. Applicants must be able to hold a position of public trust with the US government and be willing to travel onsite to Vienna, Virginia three times per week.

Requirements

Ability to hold a position of public trust with the US government.
Willingness to travel onsite to Vienna, Virginia, three times per week.
Bachelor's degree and 8 years of experience.
At least 5 years of software engineering experience focused on AI/ML development.
Proven experience leading and mentoring developer teams on AI projects.
Strong Python programming skills and experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Extensive knowledge of machine learning algorithms, deep learning architectures, and natural language processing techniques.
Proficiency with AWS, Azure, or GCP and experience deploying AI solutions at scale.
Understanding of DevSecOps principles and experience implementing CI/CD pipelines for AI projects.
Familiarity with Hadoop, Spark, and distributed computing concepts.
Experience with containerization technologies such as Docker and orchestration tools such as Kubernetes.
Strong understanding of data structures, algorithms, and software design patterns.
Excellent communication skills and ability to explain technical concepts to technical and non-technical stakeholders.
Ability to balance technical leadership with hands-on development when needed.
Experience with agile methodologies and project management tools.

Responsibilities

Lead and mentor a team of developers working on predictive and generative AI solutions.
Architect and oversee scalable AI/ML systems, applying software engineering best practices and AI ethics.
Drive adoption of AI technologies by collaborating with cross-functional teams to identify and implement AI-driven solutions.
Design and implement end-to-end machine learning pipelines, from data ingestion through model deployment and monitoring.
Establish and enforce AI development practices for version control, testing, and documentation.
Oversee integration of AI models into production environments to support seamless deployment and optimal performance.
Collaborate with data scientists to translate complex algorithms into efficient, production-ready code.
Implement and maintain MLOps practices to streamline the AI development lifecycle.
Track advancements in AI/ML technologies and evaluate potential applications for clients.
Ensure compliance with data privacy regulations and ethical AI guidelines throughout development.
Contribute to the growth of the AI & Data Exploitation Practice.