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

Humana

Lead Data Scientist

Washington, DC · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Washington, DC · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239225 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

Humana

Lead Data Scientist

Washington, DC · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD * Data quality and ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD * Data quality and ...

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... Implement MLOps processes to support model deployment, monitoring, versioning, testing, and ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Strong understanding of MLOps practices and supporting tools. * Experience with cloud computing ...

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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:
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Remote Mlops jobs near you

AI/ML Consultant - Red Hat / Virtualization Focus - Remote

Vinsys Information Technology Inc

Dulles, VA • Remote

Contractor

Re-posted 5 hours ago

Job description

The AI/ML Consultant is responsible for designing, implementing, and optimizing artificial intelligence and machine learning solutions within enterprise environments. The role involves leveraging Red Hat (e.g., OpenShift AI, Ansible, RHEL AI) or other virtualization technologies to deploy scalable ML models and ensure integration with cloud or on-premises infrastructure. This is a Vinsys in-house/own project engagement. If interested, pl. Share a copy of your resume to hr@vinsysinfo.com along with your salary / rate expectations and the best time to reach you.
 
Key Responsibilities:
  • Assess client needs and design AI/ML strategies aligned with business goals.
  • Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Implement containerized AI/ML solutions on Red Hat OpenShift or similar virtualization/container platforms (VMware, KVM, Docker, Kubernetes).
  • Automate deployment and lifecycle management with Red Hat Ansible or equivalent tools.
  • Integrate AI/ML workloads with existing enterprise systems and CI/CD pipelines.
  • Ensure scalability, security, and compliance of deployed models.
  • Provide technical consulting, solution architecture, and knowledge transfer to client teams.
Required Skills and Experience:
  • Strong background in AI/ML algorithms, model lifecycle, and data processing.
  • Hands-on experience with Red Hat technologies (OpenShift, RHEL AI, Ansible Automation Platform) or other virtualization/containerization platforms.
  • Expertise in cloud environments (AWS, Azure, or GCP) with hybrid or multi-cloud deployment knowledge.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with MLOps practices and tools.
  • Knowledge of Linux system administration and virtualization concepts.
Preferred:
  • Red Hat Certified Specialist or Architect certifications.
  • Exposure to edge AI and GPU-accelerated workloads.
  • Experience consulting in government or enterprise IT environments.