AI / ML Engineer (with Observability)

Mindlance

Coppell, TX

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Conversation Engine, Corrective Action, Cross-Functional, Data Management, Data Science, Distributed Computing, Ecosystems, Event Correlation, Instrumentation, Leadership, Machine Tool, Metrics, Microservices, Network Systems, Operational Audit, Predictive Modeling, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, Science Library, Snowflake Schema, Statistics, Systems Analysis, Telemetry, Time Management

LOCATION

Coppell, TX

POSTED

22 days ago

Hybrid onsite at Dallas, TX, 75019 / Tampa, FL, 33647

CTH
2 rounds of interviews

Overview
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.
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Key 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.

Required Skills & Qualifications
Core Technical Skills
" 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.
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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.

Soft Skills
" Strong analytical thinking and problem solving.
" Excellent communication skills for cross functional collaboration with infrastructure, SRE, engineering, business, and leadership teams.
" Curiosity, continuous learning mindset, and passion for applied AI and Observability.

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

Mindlance

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