Senior ML Engineer — Production AI Pipelines & Optimization

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, and related algorithms. You will build training and deployment pipelines using Databricks and PySpark, and ensure models run efficiently in production.

You will collaborate with data scientists and engineers, report to the Director of Business Intelligence within IT, and commute to the office five days a week.

Qualifications

• 5 years' experience in ML engineering, software engineering, or data science.
• Bachelor's degree in a quantitative field.

Responsibilities

• Define project requirements with business stakeholders.
• Orchestrate and scale model serving pipelines.
• Improve model accuracy via feature engineering and observability.
• Enhance performance across pipelines and compute.
• Integrate ML models into production environments.
• Evaluate pretrained models from vendors.
• Develop project plans for ML/AI projects.
• Provide ETL requirements to data engineers.
• Collaborate with data scientists, engineers, and analysts.
• Build scalable software with measurable business value.
• Focus on clean architecture and reduce technical debt.
• Continuously push practices and experiment with new methods.

Skills

ML engineering

Software engineering

Data science

Education

Bachelor's degree in a quantitative field

Masters in a quantitative field

Tools

Databricks

Unity Catalog

Git

CI/CD pipelines

Job description

Venture Global LNG in Arlington, VA is seeking a Machine Learning Engineer to design, develop, and productionize ML, DL, generative AI, and related algorithms. You will build training and deployment pipelines using Databricks and PySpark, and ensure models run efficiently in production.

You will collaborate with data scientists and engineers, report to the Director of Business Intelligence within IT, and commute to the office five days a week.