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Mlops Engineer Remote Jobs in New York (NOW HIRING)

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML ...

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 ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Mercor

ML Engineer - AI Coding Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Mercor

ML Engineer - Coding Agent Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex ... Review model-generated implementations involving model training , inference systems , MLOps , and ...

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

MLOps Implementation * Develop and maintain MLOps pipelines that automate the deployment ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

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Mlops Engineer Remote information

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 are the most commonly searched types of Mlops Engineer jobs in New York?

The most popular types of Mlops Engineer jobs in New York are:

What are popular job titles related to Mlops Engineer Remote jobs in New York?

For Mlops Engineer Remote jobs in New York, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer Remote jobs in New York look for?

The top searched job categories for Mlops Engineer Remote jobs in New York are:

What cities in New York are hiring for Mlops Engineer Remote jobs?

Cities in New York with the most Mlops Engineer Remote job openings:

Mlops Engineer Remote jobs near you
Infographic showing various Mlops Engineer Remote job openings in New York as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% Remote job distribution.

MLOps Engineer - AI Specialist

Mercor

New York, NY • Remote

$70 - $110/hr

Full-time

Re-posted 3 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Type: Contract
Compensation: $70–$110/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX and/or PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.