Sr. AI/ML Engineer I (6475)
Company: MetroStar
Location: Tampa, FL (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-10
About this role
As
Sr. AI/ML Engineer I
, you’ll design, develop, and deploy machine learning solutions supporting secure, web-based applications in a dynamic, mission-focused environment. This role emphasizes applied AI, experimentation, and collaboration with cross-functional teams to deliver production-ready capabilities that evolve as mission needs change.
We know that you can’t have great technology services without amazing people. At MetroStar, we are
obsessed
with
our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:
- Design, develop, implement, and fine-tune AI and machine learning models to support web-based applications in secure environments with evolving use cases.
- Build and maintain data pipelines, training workflows, and experimentation environments to enable rapid model iteration and evaluation.
- Evaluate model performance using quantitative and qualitative metrics (e.g., accuracy, robustness, stability, efficiency, generalization) and translate results into actionable improvements.
- Analyze data, model outputs, and experimental results to recommend changes to algorithms, features, data sources, or system architecture.
- Proactively identify and assess tools, frameworks, and technologies that best support platform goals, balancing performance, scalability, and maintainability.
- Collaborate closely with software developers, data engineers, DevSecOps teams, and stakeholders to integrate AI capabilities into production systems.
- Ensure AI and data science solutions are transparent, testable, and maintainable to support long-term operational use.
- Communicate technical approaches, assumptions, tradeoffs...