ML Engineer - US Remote

Remote Machine Learning EngineerAbout the RoleAngenex is seeking an ML Engineer to join its data team and build machine learning solutions that support marketing and sales initiatives as well as commercial analytics. This role focuses on developing production-ready machine learning pipelines, managing MLOps infrastructure, deploying models, and monitoring and optimizing machine learning performance.Key ResponsibilitiesBuild and deploy machine learning pipelines that power the company’s machine learning platform.Develop and maintain production machine learning systems.Manage MLOps infrastructure supporting machine learning workloads.Monitor model performance and identify opportunities for optimization.Optimize deployed machine learning models for production use.Apply machine learning and statistical concepts to practical business and analytical problems.Work with data and engineering technologies including Python, SQL, Spark, and Pandas.Support machine learning solutions for marketing, sales, and commercial analytics.Required Qualifications1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.Proficiency in machine learning and statistics.Strong Python programming skills.Experience with data manipulation using SQL, Spark, and Pandas.Broad familiarity with the Python machine learning ecosystem and common libraries.Experience with machine learning libraries and frameworks including Scikit-Learn, XGBoost, PyTorch, Keras, and TensorFlow.Experience implementing, deploying, and maintaining production machine learning systems.Experience monitoring and optimizing model performance.Experience with Linux and Docker.Experience with AWS.Basic development operations experience.Familiarity with CNNs, RNNs, and LSTMs.Preferred QualificationsAdvanced degree in Computer Science, Mathematics, Statistics, or a related field.Familiarity with the latest machine learning research trends.Familiarity with common machine learning cloud services.Skills & CompetenciesMachine LearningStatistical ModelingPythonSQLApache SparkPandasScikit-LearnXGBoostPyTorchKerasTensorFlowCNNsRNNsLSTMsProduction Machine LearningML PipelinesMLOpsModel DeploymentModel MonitoringModel OptimizationLinuxDockerAWSDevelopment OperationsData ManipulationMarketing AnalyticsSales AnalyticsCommercial AnalyticsEducation & ExperienceEducation: No specific undergraduate degree requirement is stated. An advanced degree in Computer Science, Mathematics, Statistics, or a related area is strongly preferred.Experience: 1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist, including experience building, deploying, maintaining, monitoring, and optimizing production machine learning systems.Work Arrangement & ScheduleLocation: Jersey City, NJ, USWork Arrangement: RemoteEmployment Type: Not specifiedSchedule / Weekly Hours: Not specifiedCompensation & BenefitsCompensation: Not specified in the provided job description.Benefits: Not specified in the provided job description.Compliance / Additional InformationEmployer: AngenexJob Title: Remote Machine Learning EngineerPosted: September 6, 2026Source: JoobleThe role supports machine learning solutions across marketing and sales and commercial analytics.The original posting identifies an advanced degree as strongly preferred rather than required.