[Remote] Artificial Intelligence Engineer

Note: The job is a remote job and is open to candidates in USA. Opusing LLC is a staffing agency seeking a highly technical and results-driven AI Engineer to optimize complex logistics workflows and drive operational efficiency. The role involves leveraging Artificial Intelligence and Machine Learning to develop scalable solutions and requires collaboration with various teams to address business challenges.ResponsibilitiesEnd-to-End AI/ML DevelopmentDesign, build, train, validate, deploy, and monitor production-ready machine learning modelsEnsure model performance, reliability, and accuracy in live operational environmentsAI Agents & Workflow AutomationDesign and deploy AI agents that automate complex, multi-step operational workflows and decision-making processesBuild and scale agentic workflows and Retrieval-Augmented Generation (RAG) solutionsOperational Automation & OptimizationAutomate repetitive operational workflows, reporting processes, and decision-support systemsDeliver measurable improvements in efficiency, productivity, and cost reductionData Engineering & Pipeline DevelopmentBuild robust ETL and data pipelines to ingest, clean, transform, and process structured and unstructured datasetsWork with operational data sources, including inventory, routing, labor, and service eventsSystems IntegrationIntegrate AI tools and predictive models with warehouse, logistics, and operational software systemsRapidly prototype solutions that generate immediate business impactCross-Functional CollaborationPartner with Operations, Finance, Facilities, Procurement, and IT teams to identify business challenges and develop AI-driven solutionsCreate decision-support dashboards and communicate technical insights to stakeholdersAI Governance & SafetyEnsure responsible AI deployment through rigorous model validation, documentation, risk mitigation, bias reduction, data governance, and security practicesBuild fail-safes into automated decision-making systemsTarget Operational AI Use Cases Logistics & RoutingRoute and delivery optimizationPredictive maintenance for vehicles and equipment Workforce & LaborLabor scheduling optimizationCapacity planningWorkload balancing across warehouses Supply Chain & InventoryInventory discrepancy detectionAutomated inventory reconciliationDemand forecastingSupply requirement prediction Facilities & OperationsFacility expense managementOperational anomaly detectionCost optimization modelingComputer vision for document, barcode, and label recognitionSkillsStrong proficiency in Python (primary development language)Advanced SQL skills with PostgreSQL, SQL Server, or MySQLExperience with Git version controlHands-on experience with agentic workflows and RAG solutions using tools such as Gemini Enterprise, n8n, LangChainData Processing: Pandas, NumPyMachine Learning: Scikit-learn, XGBoostData Visualization: Matplotlib, Plotly, SeabornAutomation & APIs: FastAPI, FlaskBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field5+ years of hands-on experience in AI/ML engineering, data science, or advanced analyticsTensorFlow or PyTorchOpenCVOR-ToolsExperience with cloud platforms such as AWS, Azure, or Google CloudFamiliarity with message queues and event-streaming architecturesExperience within logistics, transportation, supply chain, warehousing, or field operationsCompany OverviewOpusing is a 100% Minority-owned and diversity-certified firm, specializing in Digital Transformation and staffing services. It was founded in 2007, and is headquartered in Boston, MA, US, with a workforce of 1001-5000 employees. Its website is https://www.opusing.com.