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Remote Prime Storage Jobs (NOW HIRING)

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ... Optimize compute and storage resources for performance and cost-efficiency. Halvik's pay range for ...

The Pennsylvania State University

$13.50 - $18.25/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... thermal storage technologies. Familiarity with DER systems configurations in the form of a ...

Gauntlet

Senior Software Engineer: Trading Infrastructure

OR · Remote

$111K - $151K/yr

We're a Series B company with around 75 employees, operating remote-first with a home base in New ... Experience with data storage systems (e.g. Postgres, ClickHouse). * Experience deploying and ...

SOLV Energy

... storage and high voltage substation projects nationwide. Summary: The EPC Project Manager will be ... Leadership ability - able to pull together team members from diverse backgrounds in a remote ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

... prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at ... Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.

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How much do remote prime storage jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote prime storage in the United States is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.65 per hour, depending on experience, location, and employer.

What is the difference between Remote Prime Storage vs Remote Data Center Technician?

AspectRemote Prime StorageRemote Data Center Technician
CredentialsStorage certifications (e.g., SNIA, CompTIA Storage+)Networking and hardware certifications (e.g., CompTIA Network+, Cisco)
Work EnvironmentManaging storage systems remotely, client sites, or data centersMaintaining and troubleshooting data center hardware remotely or on-site
Industry UsageData storage providers, cloud storage companiesData centers, hosting providers, enterprise IT
Search/Comparison IntentStorage management, remote storage supportData center maintenance, hardware troubleshooting

Remote Prime Storage focuses on managing and supporting storage systems remotely, often requiring specialized storage certifications. Remote Data Center Technicians handle hardware and network issues within data centers, with a broader focus on physical infrastructure. Both roles are essential in data management but differ in their primary responsibilities and skill sets.

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What job categories do people searching Remote Prime Storage jobs look for? The top searched job categories for Remote Prime Storage jobs are:
Remote Prime Storage jobs near you
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Halvik

Vienna, VA • On-site, Remote

$140K - $150K/yr

Full-time

Posted 20 days ago

Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!
Role and Responsibilities
Model Development
  • Collaborate with data scientists and SMEs to develop ML models using curated datasets.
  • Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
  • Create scalable and reusable training pipelines using Databricks notebooks and MLflow.

Implementation and Optimisation
  • LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. 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 retraining schedules.

Data Integration & Architecture Alignment
  • Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
  • Engineer high-quality features and maintain training/inference pipelines.

Cloud and Platform Engineering
  • Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.

Collaboration & Documentation
  • Document ML artifacts, processes, and performance outcomes.
  • Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
  • Share knowledge and mentor junior team members.

Required Skills:
  • 5+ years of experience in ML Engineering or Applied Machine Learning.
  • Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Proficient with Databricks, MLflow, and PySpark.
  • Solid understanding of model lifecycle and MLOps practices.
  • Experience with AWS-based data infrastructure and related DevOps practices.
  • Demonstrated ability to productionize models and integrate with business system
  • Strong understanding of mathematics and statistics relevant to machine learning and AI.
  • Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
  • Solid background in software engineering principles and best practices.
  • Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
  • Practical experience with LLMs, RAGs, and AI agent architectures.
  • Proficiency with the Databricks platform for data engineering and ML pipelines.
  • Advanced programming skills in Python.
  • Excellent communication and teamwork abilities.

Preferred Skills:
  • Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions
  • Business acumen and ability to align AI solutions with organizational goals.
  • Optimize compute and storage resources for performance and cost-efficiency.

Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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