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

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Exposure to AI/ML pipeline development, automation frameworks, or MLOps concepts. Knowledge, Skills ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... MLOps concepts. Knowledge, Skills, and Abilities โ€ข Proficiency in Python and SQL with strong ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... Exposure to AI/ML pipeline development, automation frameworks, or MLOps concepts. Knowledge, Skills ...

Data & AI Engineer - 90408785 - Remote

Washington, DC ยท On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ... MLOps concepts. Knowledge, Skills, and Abilities โ€ข Proficiency in Python and SQL with strong ...

Data Engineer (Databricks)

Reston, VA ยท Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Prepare, structure, and validate data for data science and MLOps workflows, ensuring it meets the ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Model Deployment and MLOps : Oversee the deployment of machine learning models into production ...

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

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

Data Scientist, Mid

Reston, VA ยท 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 ...

Showing results 21-40

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?

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.

Is remote MLOps in high demand?

Remote MLOps roles are in high demand due to the increasing adoption of machine learning and AI across industries. Employers seek professionals skilled in cloud platforms, automation, and tools like Docker and Kubernetes to manage and deploy ML models efficiently in remote environments.

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 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:

GenAI Engineer

Phoenix Oversight Group LLC

Arlington, VA โ€ข Remote

Full-time

Posted 17 days ago


Job description

PhoenixTeam is a remote-first organization and applicants for this position can work from anywhere within the US.


Role Overview

We’re looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments.


This is not a purely research role – and not a narrow “model tinkering” role either. You’ll operate at the intersection of applied AI engineering, client delivery, and internal capability building, turning promising GenAI concepts into reliable, production-ready solutions.


You’ll work closely with Value Engineers, clients, and internal stakeholders to match the right models and architectures to real business problems – especially in regulated, high-stakes environments. This role is ideal for someone who enjoys ownership, thrives in ambiguity, and wants to see their work move from prototype to production.


What You’ll Do

  • Applied AI Engineering & Delivery
  • Design, implement, fine-tune, and deploy generative AI and ML solutions aligned to real business use cases.
  • Translate technical and business requirements into scalable AI architectures and implementation plans.
  • Lead or support end-to-end AI solution delivery, from experimentation through deployment and iteration.
  • Serve as the primary technical voice on GenAI initiatives, ensuring clarity across technical and non-technical stakeholders.
  • Model Selection, Tuning & Scaling
  • Evaluate and apply appropriate models (e.g., GPT-based LLMs, BERT-style architectures, or other approaches) based on problem context.
  • Fine-tune, integrate, and operationalize models with support from specialized teammates when needed.
  • Contribute to decisions around model performance, cost, latency, and reliability tradeoffs.
  • Support early MLOps practices, including deployment patterns, monitoring, and iteration.
  • Collaboration & Enablement
  • Partner closely with Value Engineers, product leaders, and clients to align AI solutions with business goals.
  • Communicate complex technical concepts clearly to non-technical audiences.
  • Contribute to internal knowledge sharing, patterns, and best practices for GenAI delivery.
  • Mentor teammates and support PhoenixTeam learning and growth initiatives.
  • Continuous Learning & Innovation
  • Stay current on emerging GenAI techniques, tools, and platforms.
  • Experiment with new approaches and bring practical insights back to the team.
  • Support PhoenixTeam’s evolution in AI delivery methods, tooling, and ways of working.

What You Bring

  • Must-Have:
  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
  • Experience delivering technical projects that involve collaboration across stakeholders with varying technical depth.
  • Hands-on familiarity with generative AI concepts (e.g., LLMs, fine-tuning, embeddings) and a strong desire to deepen expertise.
  • Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP).
  • Strong communication skills – you can explain why and how, not just what.
  • Ability to take ownership, manage priorities, and deliver outcomes in fast-moving environments.
  • Nice-to-Have:
  • Exposure to MLOps practices, containerization, or model monitoring.
  • Experience with AI/NLP applications beyond basic experimentation.
  • Familiarity with AI evaluation methods and performance metrics.
  • Interest in ethical AI, governance, and data security principles.
  • Experience in regulated industries (a plus, not a blocker).

What Success Looks Like:

  • Delivery Excellence: You produce polished, high-quality work and take ownership of outcomes – not just tasks.
  • Leadership & Resilience: You lead through influence, adapt quickly, and help teams stay aligned when things change.
  • Teamwork: You’re a generous collaborator who adds value, shares knowledge, and steps in when help is needed.
  • Client Mindset: You care deeply about client outcomes and build trust through clarity, empathy, and follow-through.
  • Learning Champion: You’re curious, self-directed, and committed to continuous growth.
  • Mentor & Coach: You support others through feedback, guidance, and shared problem-solving.
  • Operational Excellence & Innovation: You help improve how PhoenixTeam works – from internal processes to communities of practice.