Machine Learning Engineer

NOTE: This role is on-site 5 days a week in Arlington, Virginia.

Sorry, no C2C.

Our client, a leading company in the Oil & Gas sector, is seeking a Machine Learning Engineer to develop and deploy AI-driven solutions.

This role will focus on machine learning, deep learning, generative AI, and optimization algorithms while building scalable model pipelines in Databricks and PySpark.

Key Responsibilities:Define project requirements with business stakeholders.Build and optimize model serving pipelines for scalability and performance.Improve model accuracy through feature engineering and tuning.Integrate machine learning models into production environments.Evaluate and implement pretrained models and vendor solutions.Develop project plans, including solution architecture and resourcing.Collaborate with data scientists, engineers, and analysts to translate business needs into ML solutions.

Qualifications:5+ years of experience in machine learning, software engineering, or data science.Bachelor’s degree in a quantitative field.Experience with cloud platforms (Azure, AWS) and secure data pipelines.Proficiency in SQL, Python, Scala, and machine learning frameworks.Strong expertise in feature engineering, model optimization, and tuning.

Preferred Skills:Master’s degree in a related field.Experience with Databricks, CI/CD, data lakes, Unity Catalog, and Git.Background in streaming data and cloud-based ML solutions.