Job Opening: Machine Learning Engineer
Location: Dallas, TX
Role Overview:
We are seeking a Machine Learning Engineer with expertise in productionizing machine learning code and models. The ideal candidate will work closely with data scientists to ensure robust, scalable, and efficient deployment of forecasting models.
Key Responsibilities:
Translate statistical models into efficient, scalable, and production-ready code.
Design, build, and deploy machine learning pipelines and infrastructure for forecasting models.
Implement monitoring and logging practices to ensure reliable model performance in production.
Optimize machine learning algorithms for performance and scalability in a production environment.
Collaborate with cross-functional teams to ensure seamless integration of machine learning models into business workflows.
Preferred Qualifications:
Degree in Computer Science, Engineering, or a related technical field.
Strong experience in machine learning, particularly in building and deploying models.
Proficient in programming languages like Python, Java, or Scala.
Knowledge of machine learning frameworks and Big Data technologies (e.g., Hadoop, Spark).
Familiarity with MLOps practices, including model deployment and monitoring.
Minimum Qualifications:
Bachelor’s degree in a technical field with relevant machine learning experience.
Demonstrated experience in developing and deploying machine learning models.