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Remote Mlops Jobs in Silver Spring, MD (NOW HIRING)

DevOps/MLOps Engineer

Ashburn, VA ยท On-site +1

$54 - $74/hr

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

Deployment & MLOps * Operationalize models with robust CI/CD workflows. * Deploy models usingMLflow, SageMaker, or custom APIs. * Monitor production models for accuracy, drift, and latency; manage ...

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs.

DevSecOps Architect (Remote)

Falls Church, VA ยท On-site +1

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs.

DevSecOps Architect (Remote)

Falls Church, VA ยท Remote

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs.

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Establish and enforce AI development best practices, including MLOps, version control ...

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The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Establish and enforce AI development best practices, including MLOps, version control ...

New

The position is remote. This position requires the candidate to be able to obtain a Public Trust ... Establish and enforce AI development best practices, including MLOps, version control ...

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Junior AI/ML Engineer

Arlington, VA ยท Remote

$83K - $139K/yr

Implement automated machine learning pipelines and MLOps practices for continuous integration and ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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Remote Mlops information

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 the key skills and qualifications needed to thrive as a Remote MLOps Engineer, and why are they important?

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 is a Remote MLOps job?

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 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 are the most commonly searched types of Mlops jobs in Silver Spring, MD? The most popular types of Mlops jobs in Silver Spring, MD are:
What are popular job titles related to Remote Mlops jobs in Silver Spring, MD? For Remote Mlops jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Mlops jobs in Silver Spring, MD look for? The top searched job categories for Remote Mlops jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Mlops jobs? Cities near Silver Spring, MD with the most Remote Mlops job openings:
DevOps/MLOps Engineer

DevOps/MLOps Engineer

Niyam IT, Inc.

Ashburn, VA โ€ข On-site, Remote

$54 - $74/hr

Full-time

Re-posted 19 days ago


Job description

About Niyam IT (Niyam)

Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions.


Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.


What We Offer:

  • Flexible Work Hours: Life doesn't always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
  • Remote Work: Niyam understands the value of flexibility. We offer remote work.
  • Career Growth: Niyam is not just a job; it's a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
  • Great People: Our people are the blueprint of who Niyam is to the industry and community.
  • Great Environment: Niyam fosters a great environment where innovation, collaboration, and personal growth thrive.
  • Diversity & Inclusion: We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam.


Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today!


Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal client.This role is responsible for designing, automating, and maintaining scalable infrastructure and deployment pipelines that support both traditional software development and AI/ML model lifecycles.The ideal candidate brings a strong foundation in DevOps practices, cloud-native technologies, and MLOps frameworks, with a focus on automation, reliability, and secure operations within regulated environments. This position requires close collaboration with software engineers, data scientists, and cybersecurity teams to deliver resilient and compliant solutions.We offer competitive compensation and benefits. This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of contract.


Roles and Responsibilities

    • Design, implement, and maintain robust CI/CD pipelines to support continuous integration and delivery of both application code and AI/ML models across development, testing, and production environments.
    • Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools to ensure consistency, scalability, and repeatability.
    • Manage and optimize cloud-based environments, leveraging platforms such as AWS, Azure, or GCP to support high availability, fault tolerance, and cost efficiency.
    • Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable, portable, and resilient application and model deployments.
    • Monitor system performance, availability, and reliability using centralized logging, metrics, and alerting tools; proactively identify and resolve performance bottlenecks and system issues.
    • Ensure seamless integration and promotion of code and models across development, testing, staging, and production environments through automated workflows and release management processes.
    • Collaborate with data scientists and ML engineers to operationalize machine learning models, enabling versioning, reproducibility, and continuous model delivery through MLOps best practices.
    • Implement and enforce security best practices across the DevOps lifecycle, including secure configurations, vulnerability management, and compliance with federal security standards.
    • Support system reliability engineering (SRE) practices, including incident response, root cause analysis, and continuous improvement of system resilience.
    • Document infrastructure, pipelines, and operational procedures to support maintainability, auditability, and compliance with federal standards and accreditation requirements.


    Qualifications and Education Requirements:

    • US Citizenship with ability to obtain a Public Trust.
    • Bachelor's degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline from an accredited institution.
    • Minimum of 4 years of experience in DevOps, Site Reliability Engineering (SRE), MLOps, or a related field supporting enterprise or mission-critical systems.
    • Hands-on experience designing and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar.
    • Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
    • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
    • Proficiency in containerization technologies such as Docker and orchestration platforms such as Kubernetes.
    • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, or similar).
    • Familiarity with supporting AI/ML workflows and implementing MLOps practices is highly preferred.
    • Understanding of security best practices and experience working within regulated or federal environments (e.g., NIST, FedRAMP) is preferred.
    • Strong problem-solving, troubleshooting, and communication skills, with the ability to collaborate across cross-functional teams.
    • Local to Ashburn, VA and available to work onsite as needed.


    Preferred Skills:

    • Experience supporting federal agencies or working in government contracting environments.
    • Familiarity with model versioning and experiment tracking tools (e.g., MLflow, SageMaker, or similar).
    • Experience with scripting or programming languages such as Python, Bash, or Go.
    • Knowledge of microservices architecture and API-driven development.
    • Experience implementing automated security scanning and compliance checks within CI/CD pipelines.

    Application Deadline:This position will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


    Niyam is an Equal Opportunity ("EEO") Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.If you require a reasonable accommodation due to a disability to complete your application, or if you face challenges using our online application system and need an alternative way to apply, please reach out to us at +1 703.429.2450 or email hr@niyamit.com.