AI Engineer

Ignite Digital•San Diego, CA

About The Position

Ignite Digital is seeking an AI Engineer to join its Data and AI team and support company operations. 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 help ensure their performance in production. The position contributes to project planning and execution and supports customer satisfaction through delivery of Data and AI solutions. The AI Engineer will identify, plan, and communicate technical opportunities and limitations, working with Data and AI teammates and customers to address customer needs. Success requires communicating effectively with people who have different levels of technical experience, as well as strong organization, time management, and planning skills. Experience with Python, Snowflake, GitHub, Azure, and the software engineering lifecycle is described as a plus. 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, math, statistics, or a similar field.
  • Strong communication, organization, time management, and planning abilities.
  • Must meet eligibility requirements for access to classified information following a government security investigation.

Nice To Haves

  • Experience with MLOps practices for scalable deployment.
  • Experience in government or defense projects with 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, select, train, and evaluate machine learning models.
  • Embed 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.
  • Understand, plan, and communicate technical opportunities and limitations to teammates and customers.
  • Work with Data and AI team members and customers to satisfy customer needs and contribute to project planning and execution.

Benefits

  • Competitive pay and benefits, including PTO.
  • Education stipends.
  • Referral bonuses.
  • Compelling work with the U.S. federal government.
  • Strong emphasis on volunteer and community engagement.
  • Opportunity to shape the future of the industry.
  • Supportive colleagues and management who invest in employee growth.
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