AI Engineer

Ignite Digital•San Diego, CA

19d•$80,000

About The Position

Ignite Digital is seeking an AI Engineer to join its Data and AI team. The role combines machine learning expertise with software engineering to deliver AI solutions. The engineer will own the machine-learning lifecycle, integrate models into applications, and support their performance in production. The position supports company operations and contributes to project planning and execution, customer satisfaction, and delivery of Data and AI solutions. The AI Engineer will identify, plan, and communicate technical opportunities and limitations, collaborating with Data and AI team members and customers to address customer needs. Success requires communicating effectively with people with varying levels of technical experience, along with strong organization, time management, and planning skills. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Requirements

Strong foundation in machine-learning fundamentals and software-engineering principles.
Proficiency in Python, cloud services (AWS, Azure, or GCP), and application frameworks.
Ability to design, implement, and evaluate models for real-world business use cases.
Experience with APIs, microservices, and system integration.
Bachelor’s degree in computer science, mathematics, statistics, or a similar field.
Strong communication, organization, time-management, and planning abilities.
Must meet eligibility requirements for access to classified information if selected.

Nice To Haves

Experience with MLOps practices for scalable deployment.
Experience in government or defense projects involving security compliance.
Knowledge of observability tools and performance monitoring.
Extensive knowledge of Snowflake, Python, Azure, and GitHub.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Customer-service focus and strong consulting ability.
Ability to thrive in a fast-paced, mission-driven environment.
Experience with Python, Snowflake, GitHub, Azure, and the software engineering lifecycle.

Responsibilities

Prepare data and select, train, and evaluate machine-learning models.
Integrate AI models into frontend and backend systems.
Optimize performance by reducing latency and cost while maintaining accuracy and reliability.
Collaborate with the Technical Lead to support robust deployment and monitoring of AI solutions.
Plan and execute projects and deliver Data and AI solutions that support customer needs and satisfaction.
Understand, plan, and communicate technical opportunities and limitations to team members and customers.