Job Title: AIML Engineer
Job Location: Scottsdale - Arizona - USA
Job Type: Contract to Hire
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 : MLOPSGenAI - LLMOpsPython - Data ScienceMachine Learning - AIOPSDeep Learning - AIOPS