Machine Learning Engineer — Production AI Pipelines

Venture Global LNG; Arlington (VA); On-site; USD 157,000 - 185,000; Full time

Job summary

Venture Global LNG in Arlington, VA, is seeking a Machine Learning Engineer to design, develop, and productionize ML, DL, generative AI, LLMs, and related algorithms. You will build training and deployment pipelines with Databricks and PySpark, enabling efficient production runs.

The ideal candidate has 5+ years of experience in ML/DS, strong communication, and a proactive mindset to continuously learn in a fast-paced IT environment reporting to the Director of Business Intelligence.

Qualifications

• 5 years of machine learning engineering, software engineering, or data science experience.
• Bachelor's degree in a quantitative field required.

Responsibilities

• Define project requirements with business stakeholders.
• Orchestrate, scale, setup and improve model serving pipelines.
• Improve model accuracy through feature engineering, tuning, and observability.
• Improve pipeline performance through tuning clusters, partitioning, and caching.
• Integrate machine learning models into production environments for reliability and scalability.
• Evaluate pretrained models and vendor software for production integration.
• Develop comprehensive project plans for ML/AI implementations including architectures and dependencies.
• Provide ETL requirements to data engineers for effective data curation.
• Collaborate with data scientists, data engineers, and analysts to translate requirements into ML solutions.

Skills

Machine Learning

Software Engineering

Data Science

Python

SQL

Scala

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Databricks

Unity Catalog

Git

CI/CD

Job description

Venture Global LNG in Arlington, VA, is seeking a Machine Learning Engineer to design, develop, and productionize ML, DL, generative AI, LLMs, and related algorithms. You will build training and deployment pipelines with Databricks and PySpark, enabling efficient production runs.

The ideal candidate has 5+ years of experience in ML/DS, strong communication, and a proactive mindset to continuously learn in a fast-paced IT environment reporting to the Director of Business Intelligence.