AI/ML Engineer

Machine Learning Technologies, LLC; Denver (CO); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Senior Telemetry Architect to define and evolve end-to-end telemetry architectures, including SNMP traps, polling, and EMS/NMS integration. You will build streaming pipelines with Kafka, optimize Splunk/ELK queries, and lead incident resolution with SRE teams.

Advanced AIOps/MLOps use cases are a focus. You will translate data into actionable telemetry and alerts, onboard new services to NetScout, and ensure data quality and reliability across

Qualifications

• Must have strong SNMP traps and polling experience
• Solid understanding of technical architecture and data flows
• Expertise in Kafka and streaming data
• Proficiency in optimized Splunk/ELK queries
• Experience with NetScout nGeniusOne including dashboard creation
• Ability to onboard new services to NetScout
• Strong production troubleshooting and operations experience
• Ability to translate data into actionable telemetry and alerts
• Working knowledge of AIOps/MLOps concepts
• Experience with SQL and time-series databases
• Proficiency in Python scripting and automation

Responsibilities

• Define and evolve telemetry architecture including SNMP traps/polling, EMS/NMS integration, data models, and end-to-end data flows.
• Build and maintain streaming pipelines using Kafka and time-series databases.
• Develop optimized Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time insights.
• Lead production troubleshooting and collaborate with Operations/SRE on incident resolution and runbook improvements.
• Advance AIOps/MLOps use cases including anomaly detection, noise reduction, and auto-remediation with measurable KPIs.

Skills

SNMP traps

EMS/NMS integration

Kafka streaming

Splunk/ELK queries

NetScout nGeniusOne

Dashboard development

Troubleshooting & operations

AIOps/MLOps concepts

SQL & time-series DBs

Python scripting & automation

Telemetry data modeling

Tools

NetScout nGeniusOne

Kafka

Job description

Define and evolve telemetry architecture, including SNMP traps/polling, EMS/NMS integration, data models, and end-to-end data flows.

Build and maintain streaming pipelines using Kafka and time-series databases, ensuring data quality, performance, and reliability.

Develop optimized Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time insights.

Lead production troubleshooting and collaborate with Operations/SRE teams on incident resolution and runbook improvements.

Advance AIOps/MLOps use cases, including anomaly detection, noise reduction, and auto-remediation with measurable KPIs.

Must-Have Skills :

• Strong experience with SNMP traps, polling, and EMS/NMS.
• Solid understanding of technical architecture and data flows.
• Expertise in Kafka and streaming data.
• Proficiency in optimized Splunk/ELK queries.
• Experience with NetScout nGeniusOne, including dashboard creation and support.
• Ability to onboard new services and verticals to NetScout.
• Strong production troubleshooting and operations experience.
• Ability to translate data into actionable telemetry and alerts.
• Working knowledge of AIOps/MLOps concepts.
• Experience with SQL and time-series databases.
• Proficiency in Python scripting and automation.

Nice-to-Have Skills :

• Understanding of video and internet delivery domains.
• Hands-on AI/ML experience.
• Executive-level presentation skills, including presenting to VP-level audiences.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.