Sr. AIML Engineer I (6407)

As a Sr. AI/ML Engineer I youll 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 cant 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 youll 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 and results clearly to both technical and non-technical audiences including during design reviews and demonstrations.

What youll need to succeed:

• Bachelors degree in Computer Science Engineering Data Science or a related technical discipline.
• Active Secret security clearance (required).
• 4 years of experience in data science machine learning or applied artificial intelligence.
• Strong hands-on experience developing training and tuning AI/ML models using Python and modern ML frameworks (e.g. PyTorch TensorFlow scikit-learn).
• Experience selecting and applying appropriate modeling approaches (e.g. supervised unsupervised reinforcement learning or hybrid methods) based on problem context.
• Strong software engineering fundamentals including API design clean architecture testing and Git-based workflows.
• Ability to work effectively in ambiguous problem spaces defining requirements success metrics and implementation steps as understanding evolves.
• Experience integrating AI models into web-based or service-oriented platforms working alongside DevSecOps engineering teams.
• Solid understanding of the full AI lifecycle including data preparation experimentation validation deployment considerations and ongoing model improvement.

• Strong analytical and problem-solving skills with sound judgment on when to prototype iterate or rethink an approach.

SALARY RANGE: $133000 - $147000

The salary range for this position is determined based on qualifications skills and relevant experience. The final salary offered will be determined based on several factors including:

• The candidates professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation subject to the terms and policies of MetroStar which may include:
• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses