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Global Modular Jobs in Virginia (NOW HIRING)

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency ...

Venture Global LNG

Senior Data Scientist

Arlington, VA · On-site

Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency ...

Modular Mission Critical

VA · On-site

$71K - $92K/yr

... global enterprises. With over 7,000 employees, our capabilities span electrical, electronic ... Dean's Modular Mission Critical facility in Ruther Glen. The position is located at M. C. Deans ...

Modular Mission Critical

VA · On-site

$14.75 - $18.75/hr

Dean's complex, modular product line for datacenters and critical infrastructure. Located just ... Join a global workforce of over 8,000 employees. Learn more about us at www.mcdean.com Apply today ...

Modular Mission Critical

VA · On-site

$13.25 - $17.75/hr

Dean's complex, modular product line for datacenters and critical infrastructure. Located just ... Join a global workforce of over 8,000 employees . Learn more about us at www.mcdean.com Apply today ...

Modular Mission Critical

VA · On-site

Dean's complex, modular product line for datacenters and critical infrastructure. Located just ... Join a global workforce of over 8,000 employees . Learn more about us at www.mcdean.com Apply today ...

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Global Modular information

What are some common challenges faced by professionals working in global modular construction, and how can they be addressed?

Professionals in global modular construction often encounter challenges such as coordinating across multiple time zones, navigating diverse regulatory requirements, and ensuring consistent quality standards across international sites. Effective communication and strong project management skills are essential to address these issues. Collaborating closely with cross-functional teams and local stakeholders helps ensure successful project delivery and adaptation to regional needs. Leveraging digital tools for remote coordination and maintaining clear documentation are also key strategies for overcoming these challenges.

What is the difference between Global Modular vs Modular Technician?

AspectGlobal ModularModular Technician
CredentialsTypically requires technical certifications and industry-specific trainingRequires similar technical certifications and hands-on training
Work EnvironmentWorks on large-scale modular systems across multiple locations or countriesFocuses on installation, maintenance, and repair of modular units locally or on-site
Industry UsageCommon in construction, manufacturing, and engineering sectorsPrimarily in construction, manufacturing, and industrial sectors
Search & ComparisonOften compared for roles involving modular system deployment and managementCompared for hands-on installation and maintenance tasks

Global Modular and Modular Technician roles share similar credentials and industry environments, but differ mainly in scope. Global Modular typically involves overseeing large-scale modular projects across regions, while Modular Technicians focus on on-site installation and maintenance. Both roles require technical skills, but their responsibilities and work settings vary significantly.

What are the key skills and qualifications needed to thrive as a Global Modular Project Manager, and why are they important?

To thrive as a Global Modular Project Manager, you need expertise in project management, supply chain logistics, and modular construction methods, typically supported by a degree in engineering or construction management. Familiarity with project management tools like MS Project or Primavera, Building Information Modeling (BIM) software, and relevant certifications such as PMP are commonly required. Strong leadership, cross-cultural communication, and adaptability are vital soft skills for coordinating international teams and navigating complex projects. These skills ensure efficient project delivery, effective collaboration, and the ability to address global challenges in modular construction.

What is a Global Modular job role?

A Global Modular job typically refers to positions within companies that design, manufacture, or manage modular solutions on a global scale. These roles often involve overseeing the production and deployment of modular buildings, components, or systems that can be assembled quickly in different regions worldwide. Responsibilities may include project management, supply chain coordination, and ensuring compliance with international standards. Working in a global modular role requires strong organizational skills and the ability to work across cultures and time zones.
What are popular job titles related to Global Modular jobs in Virginia? For Global Modular jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Global Modular jobs in Virginia look for? The top searched job categories for Global Modular jobs in Virginia are:
What cities in Virginia are hiring for Global Modular jobs? Cities in Virginia with the most Global Modular job openings:
Global Modular jobs near you
Machine Learning Engineer

Machine Learning Engineer

Venture Global LNG

Arlington, VA • On-site

Other

Posted 23 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.
The ideal candidate will have excellent technical proficiency, excellent communication skills, a self-driven mindset, and the willingness to continuously learn new things.
This position will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA and will require commuting to the office 5 days a week.
Responsibilities
  • Work with business stakeholders to define project requirements.
  • Orchestrate, scale, setup and improve model serving pipelines.
  • Improve model accuracy through feature engineering, tuning, and observability.
  • Improve model computational performance through all aspects of the pipeline, including tuning clusters/job compute, partitioning, caching, feature engineering code, tuning setup, etc.
  • Integrate machine learning models into production environments, ensuring reliability and scalability.
  • Evaluate pretrained models and software from vendors and support integration into production environments.
  • Develop comprehensive project plans for implementing machine learning and AI projects including solution architectures, resourcing, and dependencies.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions.
  • Build software solutions that are maintainable, scalable and provide quantifiable business value.
  • Continuously focus on quality architecture, quality code, and ruthless management of technical debt.
  • Continuously push the practice forward, learning and testing newer and better ways of performing work.

Required Qualifications
  • 5 years of machine learning engineering, software engineering, or data science experience.
  • Bachelors in a quantitative field of study.

Preferred Qualifications
  • Masters in a quantitative field of study.
  • Experience with the Azure, AWS, or other cloud ecosystems.
  • Experience in building secure data processing pipelines.
  • Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
  • Experience working with streaming.
  • Expertise in building machine learning solutions using cloud data services.
  • Exceptional skills in data processing languages such as SQL, Python, or Scala.
  • Exceptional skills in feature engineering, model optimization, and parameter tuning.

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
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