MLOps Engineer

\u003cp\u003eWe are looking for an experienced\u0026nbsp;\u003cstrong\u003eMLOps Engineer\u003c/strong\u003e\u0026nbsp;for our client, an international AI development company based in New York.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIn this role, you will work closely with\u0026nbsp;\u003cstrong\u003eData Scientists, Software Engineers, and other technical stakeholders\u003c/strong\u003e\u0026nbsp;to build and productionize advanced machine learning and Generative AI solutions. You will contribute to the development of reliable backend systems, scalable AI services, and production-ready MLOps workflows that support business-critical applications.\u003c/p\u003e\u003cp\u003eThis role reports to the Engineering Manager and involves close collaboration across engineering and business teams.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You’ll Do\u003c/strong\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eDevelop and maintain\u0026nbsp;\u003cstrong\u003eproduction-grade backend systems\u003c/strong\u003e\u0026nbsp;and\u0026nbsp;\u003cstrong\u003eGenerative AI applications\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eDesign and implement\u0026nbsp;\u003cstrong\u003eRetrieval-Augmented Generation (RAG) pipelines\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eOrchestrate and optimize\u0026nbsp;\u003cstrong\u003emachine learning models\u003c/strong\u003e\u0026nbsp;for production environments.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBuild and enhance scalable\u0026nbsp;\u003cstrong\u003eAPIs and backend services\u003c/strong\u003e\u0026nbsp;to support AI-powered applications.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eCollaborate with cross-functional teams to integrate AI and ML solutions into existing systems and workflows.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eSupport the deployment, monitoring, and reliability of machine learning solutions in production.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eContribute to the continuous improvement of\u0026nbsp;\u003cstrong\u003eMLOps processes, infrastructure, and engineering best practices\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You’ll Bring\u003c/strong\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cstrong\u003e5+ years of experience\u003c/strong\u003e\u0026nbsp;in Python programming and backend development.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eStrong proficiency in\u0026nbsp;\u003cstrong\u003ePython, SQL, and Bash scripting\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eHands-on experience with\u0026nbsp;\u003cstrong\u003eLarge Language Models (LLMs)\u003c/strong\u003e\u0026nbsp;and Generative AI technologies.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience with\u0026nbsp;\u003cstrong\u003emachine learning and data science\u003c/strong\u003e, including:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eFeature engineering\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eModel evaluation\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eModel performance optimization\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience designing or supporting\u0026nbsp;\u003cstrong\u003eRAG-based applications\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFamiliarity with relational databases such as\u0026nbsp;\u003cstrong\u003ePostgreSQL and MySQL\u003c/strong\u003e.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eStrong understanding of software engineering principles and production-grade application development.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eGood communication and collaboration skills.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eNice to Have\u003c/strong\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eExperience with backend frameworks such as\u0026nbsp;FastAPI, Flask, or Django.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eKnowledge of\u0026nbsp;REST APIs, asynchronous programming in Python, and\u0026nbsp;microservices architecture.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience with MLOps and containerization technologies, including\u0026nbsp;Docker and Kubernetes.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFamiliarity with AWS services such as:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eEC2\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eS3\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eLambda\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eSageMaker\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience with\u0026nbsp;CI/CD pipelines.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eExperience with\u0026nbsp;model deployment, monitoring, and observability.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e