Machine Learning Engineer

Title: Machine Learning Engineer Location: – Fort Lauderdale, FL (Onsite) Duration: Contract Job description: The Opportunity: We are looking for a Machine Learning Engineer to design, build, and support machine learning solutions with a strong emphasis on Python, APIs, and modern LLM-based applications. This role will focus on developing and integrating machine learning and generative AI capabilities into production systems, leveraging cloud infrastructure on Google Cloud Platform (GCP). The ideal candidate has hands-on experience working with large language models (LLMs), building Python-based APIs, and applying frameworks such as LangChain and LangGraph to real-world use cases. Key Responsibilities Design, develop, and maintain machine learning solutions using Python Build and integrate Python-based APIs to support ML and LLM-driven applications Develop and deploy LLM and generative AI workflows using frameworks such as LangChain and LangGraph Apply machine learning techniques to solve real-world business problems Deploy and operate ML workloads on Google Cloud Platform (GCP) Collaborate with cross-functional teams to integrate ML capabilities into production systems Ensure solutions follow best practices for performance, scalability, and reliability Required Qualifications Strong proficiency in Python for machine learning and backend development Hands-on experience working with machine learning models in production environments Practical experience with LLMs and Generative AI use cases Experience building and consuming Python-based APIs Working knowledge of Google Cloud Platform (GCP) Understanding of ML workflows, model experimentation, and deployment Preferred Qualifications Experience with LangChain and LangGraph Familiarity with modern GenAI architectures and tooling Experience deploying ML or AI services in cloud environments Background in building scalable, production-grade ML systems