A leading provider of liquefied natural gas seeks a Machine Learning Engineer in Arlington, VA. This role involves developing and maintaining machine learning and AI models, building efficient pipelines, and collaborating with stakeholders. Candidates should have a bachelor's degree in a quantitative field and five years of relevant experience. Excellent communication and problem-solving skills are essential, along with familiarity with cloud ecosystems like Azure or AWS. Competitive compensation and a commitment to continuous learning are offered.
Qualifications
5 years of experience in machine learning engineering, software engineering, or data science.
Experience in building secure data processing pipelines.
Exceptional skills in feature engineering, model optimization, and parameter tuning.
Responsibilities
Define project requirements with business stakeholders.
Orchestrate and improve model serving pipelines.
Integrate machine learning models into production environments.
Skills
Machine learning engineering
Software engineering
Data science
Feature engineering
Model optimization
ETL processes
Data processing languages (SQL, Python, Scala)
Education
Bachelor's degree in a quantitative field
Master's degree in a quantitative field (preferred)
Tools
Databricks
Azure
AWS
CI/CD pipelines
Git
Data lakes
Job description
A leading provider of liquefied natural gas seeks a Machine Learning Engineer in Arlington, VA. This role involves developing and maintaining machine learning and AI models, building efficient pipelines, and collaborating with stakeholders. Candidates should have a bachelor's degree in a quantitative field and five years of relevant experience. Excellent communication and problem-solving skills are essential, along with familiarity with cloud ecosystems like Azure or AWS. Competitive compensation and a commitment to continuous learning are offered.