Job Title: AI/ML Engineer
Location: Phoenix Arizona (Day 1 On-site)
Duration: Long term contract
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 end-to-end 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 CI/CD practices.
Experience working with large-scale 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 open-source Large Language Models (LLMs).
Experience building AI/ML products using technologies such as LLMs neural networks and others.
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 Fast API Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI & Build tools