MLOps Engineer – CI/CD & Simulation - TS/SCI

Are you ready to bridge the gap between cutting-edge machine learning research and mission-critical deployment? At Parsons, we are looking for an ambitious MLOps Engineer to join our elite technology team, where you will build the automated pipelines that bring sophisticated AI models to life. This is not just a desk job; it is a front-row seat to the future of defense technology, where your work directly impacts real-world outcomes. If you are a recent graduate or early-career professional with a passion for CI/CD, containerization, and high-stakes simulation, we invite you to help us redefine what is possible in an environment that prizes agility, innovation, and your personal growth.

In this role, you will be the architect of reliability, designing and maintaining robust MLOps infrastructure that ensures our machine learning models are scalable, secure, and ready for deployment in complex environments. You will collaborate with a multidisciplinary team of experts to streamline data workflows and implement advanced simulation environments that push the boundaries of what our systems can achieve. As a TS/SCI cleared professional, you will thrive in a high-impact space where your technical problem-solving skills meet our mission-driven culture. If you are eager to launch your career on a team that values your voice and empowers you to tackle the most challenging problems in the industry, join us at Parsons and imagine your future with us.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.