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Field Ops Engineer Jobs (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

Germantown, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Lannon, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Waukesha, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Wales, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Hubertus, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Nashotah, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

North Lake, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Brown Deer, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

Techvilla Solutions

ML Ops Engineer

Sussex, WI

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Required Skills * 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.

SWITS DIGITAL Private Limited

AI Ops Engineer

$54 - $74/hr

Title: AI Ops Engineer Remote GENERAL PURPOSE OF THE JOB The AI Op Engineer is responsible for ... Bachelor's Degree in Computer Science, Software Engineering, or a related technical field (or ...

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Field Ops Engineer information

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$36.5K

$71.2K

$105.5K

How much do field ops engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for field ops engineer in the United States is $71,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Field Ops Engineer jobs?

For Field Ops Engineer jobs, the most frequently searched job titles are:

ML Ops Engineer

Germantown, WI

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

Posted 21 days ago

Job description

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization, model deployment, monitoring, and ML lifecycle management.

Roles and Responsibilities
  • Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining.
  • Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration.
  • Deploy and manage machine learning models across cloud and on-premise environments.
  • Implement model versioning, experiment tracking, feature management, and model governance.
  • Build scalable infrastructure using Docker, Kubernetes, and cloud services.
  • Monitor model performance, data quality, system health, and production workloads.
  • Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams.
  • Troubleshoot production ML systems and optimize reliability, scalability, and performance.
  • Implement security, access controls, logging, and compliance best practices.
Required Skills
  • 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.
  • Strong experience with MLOps concepts and ML lifecycle management.
  • Hands-on experience with Python and scripting.
  • Experience with AWS, Azure, or GCP.
  • Strong knowledge of Docker and Kubernetes.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar ML platforms.
  • Experience with Git, Terraform, and infrastructure automation.
  • Knowledge of model monitoring, observability, data validation, and model performance tracking.
  • Strong understanding of REST APIs, microservices, Linux, and cloud-native architectures.
Preferred Skills
  • Experience with Apache Airflow, Databricks, Spark, or Kafka.
  • Knowledge of LLMOps/GenAI deployment and monitoring.
  • Experience with model serving frameworks such as KServe, Seldon, or NVIDIA Triton.
  • Familiarity with Prometheus, Grafana, ELK, or similar observability tools.
  • Understanding of ML security, governance, and responsible AI practices.
Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.

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