Artificial Intelligence Integration Engineer

Sev1Tech is seeking a skilled AI Integration Engineer to deploy, monitor, and optimize AI models in production. The role involves building scalable infrastructure and dashboards, implementing automated deployment pipelines, and ensuring data security and performance. Collaboration with data scientists and DevOps teams is crucial for aligning model performance with business needs.

Requirements

• 5+ years in MLOps, DevOps, or software engineering with a focus on AI/ML systems
• Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML)
• Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring
• Technical skills: Proficiency in Python and SQL; familiarity with JavaScript or Go is a plus
• Expertise in containerization (Docker, Kubernetes) and CI/CD tools (GitHub Actions, Jenkins)
• Knowledge of time-series databases (e.g., InfluxDB, TimescaleDB) and logging frameworks (e.g., ELK Stack, OpenTelemetry)
• Experience with drift detection tools (e.g., Evidently AI, Alibi Detect) and visualization libraries (e.g., Plotly, Seaborn)
• AI-Specific Skills: Understanding of model performance metrics and drift detection methods
• Strong problem-solving and debugging skills for pipeline and monitoring issues
• Excellent collaboration and communication skills
• Attention to detail for ensuring accurate and secure dashboard reporting

Benefits

• Competitive salary
• Benefits match
• Retirement plan
• Unlimited paid time off
• Tuition reimbursement