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Remote Monitor Engineer Jobs in Farmington, MI (NOW HIRING)

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Monitor and respond to application security threats, incidents and vulnerabilities. Stay up to date ...

... and monitoring. * Establish and refine best practices in our ML system architecture, CI/CD ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

... and monitoring. * Establish and refine best practices in our ML system architecture, CI/CD ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Senior Controls Engineer

Detroit, MI · On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... execution, monitoring, commissioning, close-out, and support Great Reasons to work for Generac

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

This is a fully remote, hands-on individual contributor role with meaningful ownership across core ... Implement and enhance deep system observability, monitoring, logging, and alerting for performance ...

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

... fully remote candidates, with periodic travel expected for company retreats and key on-site ... Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and ...

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

... monitoring, governance, security, and application lifecycle management. * Stays current with new ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Showing results 41-60

Remote Monitor Engineer information

See Farmington, MI salary details

$37.4K

$114K

$188.4K

How much do remote monitor engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote monitor engineer in Farmington, MI is $114,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $149,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Monitor Engineer vs Network Operations Center (NOC) Technician?

AspectRemote Monitor EngineerNetwork Operations Center (NOC) Technician
CredentialsTypically requires certifications like CompTIA Network+, Cisco CCNAOften requires similar certifications such as CompTIA Network+ or Cisco CCNA
Work EnvironmentRemote or on-site, monitoring systems and networksPrimarily on-site at NOC facilities, monitoring network performance
Industry UsageIT, telecommunications, cybersecurityTelecommunications, internet service providers, enterprise networks
Job FocusMonitoring, troubleshooting, and maintaining network systems remotelyReal-time network monitoring, incident response, and escalation

Both roles involve network monitoring and require similar certifications. The Remote Monitor Engineer often works remotely or in a hybrid setting, focusing on system health and troubleshooting, while the NOC Technician typically works on-site, handling real-time network issues. Both are vital in maintaining network stability across industries.

What job categories do people searching Remote Monitor Engineer jobs in Farmington, MI look for? The top searched job categories for Remote Monitor Engineer jobs in Farmington, MI are:

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 23 days ago


Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.

Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

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