Sr. AI Engineer; R

Job Responsibilities

• configure data pipelines, establishing data ingestion processes, and implementing predictive modeling components that analyze five (or more) years of historical data to generate time- and location-based risk forecasts.
• integration with existing systems and data to ensure seamless data flow and usability within current operational workflows.
• experience with all AI models to validate data integrity, model performance, and system reliability.
• assessing prediction accuracy, ensuring alignment between forecasted and observed patterns, and verifying that outputs are operationally meaningful for command staff and field leadership.
• experience within STRIDE platform.
• build machine learning and deep learning models (e.g., neural networks, LLMs) to address specific business problems.
• fine-tune AI models to ensure high performance, scalability, and efficiency in cloud environments.

• education:
  Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
• experience: 5+ years of hands on professional experience is necessary.
• programming languages: high proficiency in Python, with working knowledge of Java, C++, or R.
• AI/ML frameworks: expertise in tools like Tensor Flow, PyTorch, or Scikit-Learn.
• cloud & infrastructure: familiarity with cloud environments like AWS (e.g., Sage Maker), Google Cloud (e.g., Vertex AI), or Microsoft Azure.
• math & algorithms: strong foundation in statistics, probability, calculus, and linear algebra.

We’re actively searching for talented and experienced professionals who are ready to experience the True Zero difference.

• competitive salary, paid twice per month
• best in class medical coverage
• 100% of medical premiums covered by True Zero
• company wide new business incentive programs
• contribution incentives (i.e., white papers, blog posts, internal webinars, etc.)
• 3 weeks of PTO starting + 11 paid holidays annually
• 401k program with 100% company match on the first 4%
• monthly reimbursement of cell phone and home internet costs
• paternity/maternity leave
• investment in training and certifications to broaden and deepen your technical skills