JOBSEARCHER

Machine Learning Engineer

Our client, a American Multinational Clothing and Accessories Retailer company, is looking for a Machine Learning Engineer for their Remote location.ResponsibilitiesClient is seeking an experienced AI Engineers to help build, optimize, and scale next-generation AI agents that support business functions across planning, allocation, forecasting, pricing, and operational execution.This role sits at the forefront of Client's expanding AI initiative, where multiple AI agents are being developed and deployed to improve productivity, automate workflows, and drive better business outcomes.Design, develop, and optimize AI agents that support enterprise business workflowsBuild and maintain agentic workflows that drive automation, execution, and business insightsIntegrate LLMs and AI services into production environmentsUtilize APIs and AI SDKs to enhance and extend AI agent capabilitiesDevelop backend services and integrations using PythonSupport AI workloads leveraging GCP technologies and BigQueryOptimize AI agent performance, token utilization, and cost efficiencyPartner with business stakeholders to understand and solve real-world use casesBuild scalable and maintainable AI solutions that improve decision-making across multiple business domainsSupport deployment, monitoring, and operational excellence of AI-powered systemsRequirementsThe ideal candidate will have hands-on experience building and supporting Agentic AI solutions, integrating Large Language Models (LLMs), and developing scalable AI workflows in cloud environments.This position is less focused on traditional machine learning model development and more focused on the practical implementation, optimization, and operationalization of AI agents in production environments.Hands-on experience with agent orchestration frameworks such as LangChain, LangGraph, or Google Agent Development Kit (ADK).Engineer will be assigned business use cases and will own the design, implementation, and continuous improvement of AI-driven solutions that enhance decision-making and workflow efficiency across multiple business domains.Strong Python development experienceExperience building or supporting AI Agents and Agentic WorkflowsExperience working with LLMs and Generative AI technologiesExposure to AI SDKs such as OpenAI, Anthropic, or similar platformsExperience integrating APIs into AI-driven solutionsGCP cloud experience, including BigQuery and cloud-native servicesExperience working with unstructured dataUnderstanding of AI agent optimization, deployment, and operational performanceBackground in AI Engineering, Software Engineering, Machine Learning Engineering, or Data EngineeringExperience deploying containerized applications using DockerExposure to CI/CD processes and automation pipelinesExperience working in multi-cloud environments (GCP preferred, Azure exposure helpful)Retail, supply chain, planning, forecasting, or allocation experience is a plusSQL and/or R experienceWhy Should You Apply?Health BenefitsReferral ProgramExcellent growth and advancement opportunities#J-18808-Ljbffr