AI/ML Engineer - W2 Only

Role OverviewWe are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms. This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready systems.Key Responsibilities Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning) Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency Build and optimize NLP/document processing pipelines using GCP/Azure tech stack Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures. Establish and maintain robust LLMOps/MLOps practices for model lifecycle management. Develop and deploy models using PyTorch, MLFlow, and FastAPI. Ability to Implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions) Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization. Required Skills & Technologies AI/ML Tools: LangChain, LangGraph, PyTorch, MLFlow, Cloud Platforms: GCP Vertex AI, Kubernetes DevOps & Automation: GitHub Actions Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 10+ years of experience in IT systems and AI/ML solution delivery. Proven track record in designing and deploying enterprise AI solutions. Strong understanding of cloud-native architectures and scalable AI infrastructure. Certifications (Preferred) GCP and/or Azure Job Type: Contract Pay: $60.00 - $65.00 per hour Expected hours: 40 per week Application Question(s): Are you authorized to work on W2 without required sponsorship? Experience: Generative AI: 5 years (Required) LangChain: 5 years (Required) Work Location: In person