Machine Learning
About the CompanyPlacement Services USA, Inc. appears to be a recruitment and staffing firm that helps employers hire qualified professionals. In this posting, they are recruiting for a client company rather than providing details about the end employer.About the RoleThis is a Remote Machine Learning Engineer / Machine Learning Scientist position focused on:Building and deploying machine learning solutionsWorking with Large Language Models (LLMs)Developing deep learning models using PyTorchCreating scalable data pipelinesDesigning backend services for ML model servingRunning experiments and evaluating model performanceApplying ML solutions in marketing and advertising productsThe role is fully remote and requires both research and production-level engineering skills.Required SkillsMachine Learning & AIMachine LearningDeep LearningLarge Language Models (LLMs)PyTorchStatisticsOptimization techniquesProgrammingStrong coding skillsData Structures & AlgorithmsSoftware Engineering best practicesData EngineeringApache SparkSQLHiveQLLarge-scale data processing pipelinesCloud PlatformsExperience with one or more:AWSAzureDatabricksBackend DevelopmentMicroservices architectureAPI developmentgRPCGraphQLDevOps & DeploymentCI/CD pipelinesAzure DevOpsCircleCIAnalytics & ExperimentationA/B TestingSurvival AnalysisBusiness Metrics DesignModel Performance EvaluationQualificationsEducationMaster's Degree (or equivalent foreign degree) in:Computer ScienceStatisticsComputational Science & EngineeringRelated fieldExperience3+ years of experience in:Machine LearningStatistics and optimizationLarge-scale data processingCloud platformsLLMs and Deep LearningBackend ML servicesExperimentation frameworks2+ years of experience in:Marketing or Advertising industry ML applicationsIdeal CandidateThe ideal candidate would have:Strong ML research knowledgeProduction engineering experienceExperience deploying AI systems at scaleKnowledge of cloud infrastructureMarketing-tech (MarTech) or AdTech experienceAbility to work independently in a remote environmentEqual Opportunity InformationThe job posting does not mention an Equal Employment Opportunity (EEO) statement. Many U.S. employers typically include language stating that they are equal opportunity employers and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristics, but no such statement is provided in this posting.