Job Role: AI MLOps Engineer Job type - Contract Location: Scottsdale, AZ (Day 1 Onsite) Job Description: • Design and implement scalable MLOps supportive data pipelines for data ingestion processing and storage • Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms • Experience implementing and supporting endtoend Machine Learning workflows and patterns • Expert level programming skills in Python and experience with Data Science and ML packages and frameworks • Proficiency with containerization technologies Docker Kubernetes and CICD practices • Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks • Experience and knowledge in the most recent advancements in Gen AI including Gemini OpenAI Claud and exposure to opensource Large Language Models LLMs • Experience building AIML products using technologies such as LLMs neural networks and others • Experience in building AIML Apps using Flask or FastAPI • Experience with RAG and Supervised Tuning techniques • Strong distributed systems skills and knowledge • Development experience of at least one public cloud provider Preferably GCP • Excellent analytical written and verbal communication skills • Tech Stack Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI Build tools Mandatory Skills : • MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning – AIOPS