Data Scientist w/ Observability exp #987999

Job Description

Job Title: AI / ML Engineer – Observability

Location: Dallas, TX or Tampa, FL (Hybrid w/ 3 days onsite)

Work Type: Contract-to-Hire (CTH)

Position Summary

We are seeking a highly skilled AI/ML Engineer with strong Observability expertise to join our team as a strategic contributor. This role goes beyond hands-on engineering and requires a subject matter expert who can act as a thought partner, helping to design, recommend, and implement AI-driven observability solutions across applications, platforms, and business data.

The ideal candidate has experience building end-to-end observability solutions, a strong foundation in automation, and a deep understanding of modern observability principles and tooling.

Key Responsibilities
• Design, build, and enhance AI/ML-driven observability solutions across applications, infrastructure, and business data
• Act as a subject matter expert in observability, providing guidance and recommendations to engineering and leadership teams
• Implement and support observability frameworks using OpenTelemetry
• Develop dashboards, alerts, and analytics using Grafana or similar observability platforms
• Leverage AI/ML techniques to improve monitoring, anomaly detection, forecasting, and operational insights
• Build automated, scalable solutions to support end-to-end observability across multiple technologies
• Collaborate with cross-functional teams to align observability strategy with business and technical goals
• Evaluate and recommend new tools, platforms, and AI-driven approaches to enhance observability capabilities
• Ensure observability best practices are consistently applied across systems and environments

Required Qualifications
• Strong experience in AI/ML development and engineering
• Solid understanding of core observability concepts (metrics, logs, traces)
• Hands-on experience with OpenTelemetry
• Experience with observability platforms such as:
• Grafana (preferred), or
• Splunk, Dynatrace, or similar tools
• Strong background in automation and building innovative, scalable engineering solutions
• Ability to design and implement end-to-end observability architectures
• Excellent problem-solving and communication skills

Preferred Qualifications
• Experience recommending or implementing AI-driven observability or monitoring solutions
• Background working in complex, distributed systems environments
• Ability to quickly learn and adapt to new observability tools and platforms
• Experience influencing technical direction and strategy beyond individual contributor tasks