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Mlops Engineer Remote Jobs in Closter, NJ (NOW HIRING)

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

We have a flexible work environment and allow remote work depending on one's personal choice. Responsibilities: As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the ...

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

Senior DevOps & MLOps Engineer @ Moody's [IMMEDIATE FILL]Do you have a healthy disregard for the status quo? Does scaling from zero to thousands get you excited?? Check this out.. We are in search of ...

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

MLOps * Python (machine learning, Natural Language Processing, string manipulation) You care about ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

HiddenLayer

Technical Support Engineer

New York, NY · Remote

Technical Support Engineer Remote ABOUT THE ROLE: This is a unique opportunity to join HiddenLayer ... Experience with cybersecurity, MLOps, or AI/ML systems * Exposure to GenAI or model security ...

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Mlops Engineer Remote information

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$39.4K

$120K

$198.3K

How much do mlops engineer remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for mlops engineer remote in Closter, NJ is $120,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $156,900.00 per year, depending on experience, location, and employer.

What does an MLOps engineer do in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are common challenges faced by remote MLOps engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What are the key skills and qualifications needed to thrive as a remote MLOps engineer?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What job categories do people searching Mlops Engineer Remote jobs in Closter, NJ look for?

The top searched job categories for Mlops Engineer Remote jobs in Closter, NJ are:

What cities near Closter, NJ are hiring for Mlops Engineer Remote jobs?

Cities near Closter, NJ with the most Mlops Engineer Remote job openings:

Mlops Engineer Remote jobs near you

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment

NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted yesterday

New

Job description


A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.
This opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
Required Skills & Experience
  • 5+ years of software engineering experience
  • Strong Python development experience
  • Production MLOps experience
  • Expertise deploying machine learning workloads in AWS
  • Experience designing CI/CD pipelines for model deployment
  • Distributed systems knowledge
  • Infrastructure automation experience
  • Monitoring, telemetry, and observability expertise
  • Experience supporting large-scale production environments
Desired Skills & Experience
  • IoT or connected-device experience
  • Kafka, Kinesis, or Flink
  • Health-tech or wearable device experience
  • ML platform engineering
  • Cost optimization within cloud environments
  • Real-time inference systems
  • Startup experience
  • Staff-level engineering experience
What You Will Be Doing
Tech Breakdown
  • 40% AWS Infrastructure
  • 30% Machine Learning Platform Engineering
  • 20% Distributed Systems & Data Pipelines
  • 10% Monitoring & Performance Optimization

Daily Responsibilities
  • 75% Hands On Engineering
  • 10% Architectural Leadership
  • 15% Team Collaboration

The Offer
  • Competitive Salary
  • Substantial Equity
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Equity Participation
  • Paid Parental Leave
  • Life Insurance
  • Remote Flexibility
  • Employee Product Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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