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Remote Mlops Jobs in Matawan, NJ (NOW HIRING)

Solution Architect (Remote)

Secaucus, NJ · On-site +1

$64 - $84.25/hr

Background in cloud-native architectures (GCP preferred), modern data platforms, or MLOps ecosystems. * Experience with data integration patterns including ETL/ELT pipelines, ingestion frameworks ...

AI Solutions Architect- Pre-sales

New York, NY · Remote

$69 - $90.75/hr

... MLOps tools/environments. * Not required but experience with container orchestration (e.g ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

AI/ML Software Engineer

New York, NY · On-site +1

$130K - $160K/yr

... remote (Friday). Key Responsibilities * Design, build, and maintain production-grade backend ... Implement MLOps practices - including model versioning, monitoring, A/B testing, and automated ...

While we are a remote-first company, the nature of this role requires candidates to be based in the ... Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI ...

Familiarity with MLOps practices and tools is a plus. Why Join Canals We're building software that ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking an experienced ... Experience with modern AI-assisted coding workflows and/or MLOps tools to accelerate development ...

... MLOps, and interpretability frameworks. · Promote compliance with industry standards and ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

This role will be fully remote in the US. We're unable to offer visa sponsorship at this stage. In ... Experience with MLOps practices such as experiment tracking, model registries, and pipelines ...

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 ...

Showing results 21-40

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:

Senior Software Engineer, Reliability

Nametag

New York, NY • Remote

$120K - $190K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago


Job description

Senior Software Engineer, Reliability

Remote, US

About Nametag

Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love.

The Role

We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous.

This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you.

What You'll Do

Infrastructure & Reliability

  • Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io.
  • Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety.
  • Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure.
  • Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively.

Observability & Incident Response

  • Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring.
  • Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues.
  • Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents.

Developer Enablement

  • Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices.
  • Build internal platform tooling and abstractions that reduce toil and increase engineering velocity.
  • Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly.

Data & ML Infrastructure

  • Design and operate data pipelines that support our ML-powered verification systems.
  • Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly.

Collaboration & Leadership

  • Work closely with engineering and product leadership on technical roadmap decisions.
  • Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline.
  • Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders.
Ideal Qualifications

Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines.

We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you.

  • Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus.
  • Infrastructure-as-Code: Production experience with Terraform or equivalent tools.
  • Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning.
  • CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred.
  • Languages: Proficiency in modern, type-safe languages. Go strongly preferred.
  • Observability: Experience building and operating logging, tracing, and metrics systems in production.
  • MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation.
  • Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter.
  • Security: Security-minded by default. You design with the threat model in mind, not as an afterthought.
What We Value
  • Intellectual horsepower. Quickly grasping complex technical and business concepts.
  • Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues.
  • Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats.
  • Ownership mindset. You care about uptime and stability the way a founder cares about the product.
Compensation

The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits.

Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency.

Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process.

Culture & Perks

At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together.

  • Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond.
  • Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places.
  • Flexible schedules: Work in your own time zone; we align key meetings across a shared window.
We Offer
  • Competitive salary
  • Meaningful equity ownership
  • Comprehensive health benefits (medical, dental, vision)
  • Flexible paid time off
  • Quarterly team off-sites and travel support
  • New computer hardware and equipment
  • An inclusive environment where your voice has impact and your work drives change