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Remote Mlops Jobs in Matawan, 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 ...

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.

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Experience in MLOps * Master's Degree in Data Science, Statistics, Applied Mathematics, or another ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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 ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment ...

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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Remote Mlops information

What is a remote mlops?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

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

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What are some common challenges faced by remote mlops engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

What are popular job titles related to Remote Mlops jobs in Matawan, NJ?

For Remote Mlops jobs in Matawan, NJ, the most frequently searched job titles are:

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

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

Remote Mlops jobs near you

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment

NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

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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