AI/ML Engineer

About the role

We are seeking a passionate and hands-on AI/ML Engineer to accelerate our Enterprise Observability strategy. This role will design, build, and operationalize AI/ML capabilities that enhance end-to-end telemetry pipelines, anomaly detection, intelligent alerting, and proactive system resiliency. You will work at the intersection of AI/ML engineering, Observability platforms, and automation, developing solutions that improve detection, diagnosis, and prevention of operational issues across distributed systems.

Responsibilities

• Design and deploy AI/ML models supporting anomaly detection, baselining, event correlation, and predictive operational analytics.
• Build and integrate AI-enabled capabilities into enterprise Observability platforms, including Grafana, APM/RUM tools, network telemetry systems, and data observability tools.
• Develop AI Agents that can autonomously triage issues, recommend corrective actions, and initiate automated remediation workflows to reduce recovery time and improve system resilience.
• Implement self-healing automation using AI-driven decisioning, integrating with orchestration frameworks, service APIs, and infrastructure automation pipelines.
• Engineer and maintain real-time and batch data pipelines using Snowflake ML Jobs, Snowflake Cortex, streams, tasks, and UDFs.
• Implement and manage OpenTelemetry-based telemetry ingestion for logs, metrics, traces, and spans across distributed systems.
• Build asynchronous Python APIs and services for model inferencing and operational integration.
• Enhance observability intelligence with AI-powered capabilities such as root-cause acceleration, chatbot/search enablement, and automated insights.
• Contribute to SLO/SLI modeling, Golden Signals instrumentation, and Observability NFR adoption.
• Collaborate across engineering, SRE, platform and business teams to embed proactive intelligence and Observability standards throughout the ecosystem.

Requirements

• Strong proficiency in Python and data science/ML libraries: NumPy, Pandas, scikit learn, TensorFlow, PyTorch, Matplotlib, Seaborn.
• Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks.
• Expertise in developing and deploying ML models in production (batch & streaming).
• Strong understanding of statistics, time series modeling, and anomaly detection.
• Observability & Telemetry Experience with OpenTelemetry for logs, metrics, traces, spans.
• Familiarity with Observability concepts: Golden Signals, SLO/SLI design, APM, RUM, Synthetics, event correlation, baselining.
• Experience with Observability tools such as: Grafana (Alloy agents, dashboards, ML capabilities), Dynatrace, Monte Carlo (Data Observability), Netscout, ThousandEyes, SolarWinds, NetBrain.
• Cloud, Data & Platform Hands on with AWS (SageMaker, Bedrock), Snowflake ML, Snowflake/Openflow, Snowflake AI Observability tooling.
• Experience building Snowflake data pipelines (streams, tasks, UDFs) – plus for Cortex features.
• Strong understanding of distributed systems and microservices telemetry requirements.
• Automation & Engineering Quality Experience with automation pipelines, CI/CD, and infrastructure as code patterns supporting Observability adoption.
• Ability to build asynchronous Python APIs or services for model inference and operational integration.

Preferred Qualifications

• Experience developing agentic AI systems that analyze telemetry, generate action recommendations, or execute automated operational responses.
• Experience building self-healing patterns, including automated rollback, service restarts, configuration corrections, and predictive maintenance.
• Experience in Snowflake ML workflows, Snowflake Cortex Agents, and data pipeline automation.
• Exposure to AI-enabled alerting, RCA automation, and operational self-healing concepts.
• Experience with large-scale operational telemetry and multi-cloud ecosystems.

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.