•Automate CI CD pipelines for ML workflows
•Build and host AI applications on cloud
•Build scalable data and machine learning pipelines
•Collaborate with product managers in agile teams
•Design, train, and deploy machine learning models
•Develop agentic AI systems with tool use
•Develop infrastructure using Infrastructure as Code
•Implement model monitoring and governance
•Integrate AI models into applications using REST APIs
•Take AI agents or models from prototype to production
Технологии: Autogen, BigQuery, CI/CD, Cloud Run, Cloud platform, Data Pipelines, Git, Google Cloud, Google Cloud Platform, LLM, Langchain, Llamaindex, MLOps, Machine Learning, Microservices, Model Governance, Model Monitoring, PyTorch, Python, REST APIs, Scikit-learn, Tekton, TensorFlow, Terraform, Unit Testing, Vertex AI, XGBoost