Machine Learning Engineer

Machine Learning EngineerImmediate need for a talented Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in U.S(Remote). Please review the job description below and contact me ASAP if you are interested. Pay Range: $50 - $58/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Design, develop, and optimize AI agents that support enterprise business workflowsBuild and maintain agentic workflows that drive automation, execution, and business insightsIntegrate Large Language Models (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 systemsKey Requirements and Technology Experience:Background 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 experience5+ years of strong Python development experienceHands-on experience 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 servicesUnderstanding of AI agent optimization, deployment, and operational performance