Zyxware Technologies · 1 day ago
Lead Automation AI/ML Engineer (Federal Government Project)
Zyxware Technologies is a company focused on developing automation and AI/ML solutions for the Federal government. The Lead Automation AI/ML Engineer will provide technical leadership, mentor junior staff, and drive the design and deployment of intelligent automation systems to enhance public service efficiency.
Responsibilities
Provide technical leadership in designing, developing, and maintaining automation, AI/ML, and data-driven solutions that improve operational efficiency
Architect solutions that are modular, scalable, reusable, and easy to maintain, leveraging best practices in software engineering
Integrate automation and AI systems into enterprise ecosystems using modern APIs, cloud services, and data pipelines
Establish and enforce coding standards, design patterns, and engineering practices that enable high-quality solution delivery
Serve as a subject matter expert and technical advisor for the team
Facilitate discussions with developers, project managers, data scientists, and clients to clarify requirements, constraints, and dependencies
Lead open discussions on technical approaches, drive consensus, and make informed, decisive recommendations
Communicate clearly, responsibly, and respectfully across technical and non-technical audiences
Maintain clear and concise documentation for code, models, and automations, ensuring smooth collaboration in distributed environments
Review code and solution artifacts, acting as a quality gate
Provide regular and transparent updates on progress, support project managers in planning and risk management
Lead efforts to identify root causes of technical issues and implement effective fixes promptly
Drive issue resolution with accountability, resourcefulness, and persistence
Mentor and coach junior staff, contributing to skill development and knowledge-sharing across the team
Support internal training and professional development initiatives
Stay up to date with emerging technologies in automation, AI/ML, and software engineering practices
Qualification
Required
Proficient in at least one modern programming language (Python, Java, C#, or similar)
Familiarity with AI/ML concepts and technologies, including large language models (LLMs), natural language processing (NLP), prompt engineering, and model evaluation
Hands-on experience with machine learning frameworks (TensorFlow, Porch, Scikit-learn) and end-to-end ML workflows (data preprocessing, training, deployment, and monitoring)
Familiarity with cloud platforms (AWS, Azure, or GCP) and their AI/ML and automation services
Strong knowledge of data structures and formats (e.g., JSON, XML) and experience with databases (SQL and NoSQL)
Experience with modern version control and CI/CD practices (e.g., Git, GitHub, GitLab, Azure DevOps)
Applied knowledge of agile development principles and tools like Jira or Azure DevOps
Strong analytical and problem-solving skills, with the ability to break down complex processes and design effective solutions
Excellent communication skills, able to translate complex technical concepts for diverse audiences
Demonstrated eagerness to learn and adopt new technologies, while actively sharing knowledge
Strong collaboration skills with the ability to address issues directly and respectfully
Highly organized, detail-oriented, and proactive in solving problems
Capable of working independently with minimal supervision
3–6 years of experience in software engineering, automation development, or AI/ML solution delivery
Experience in a project-based work environment with regular production releases
Bachelor's degree in Computer Science, Information Technology, Data Science, or related field, or equivalent practical experience
Preferred
Experience with containerization, APIs, and enterprise integration
Exposure to high-volume, complex solutions or systems with a large user base
Public sector consulting experience
Professional certifications in AI/ML, cloud, or automation technologies
Scrum or PMI certifications