AI MLOps Engineer onsite role

Role: AI MLOps Engineer
Location: Onsite in Scottsdale, AZ
Duration: Long Term

Job Description:
Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning AIOPS

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 Google Cloud Platform
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 Google Cloud Platform Google AutoML Vertex AI Build tools.