1. Job Title: MLOps Engineer, Machine Learning Engineer, ML Engineer  
2. Introduction/Overview: NO DETAILS FOUND  
3. Roles & Responsibilities: Responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment, monitoring and lifecycle management within a cloud-based environment, build and maintain scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows, manage the full MLOps lifecycle from data preprocessing, model training and deployment to model monitoring and drift detection, implement real-time model monitoring and drift detection to ensure optimal model performance over time, optimize model training and inference processes using GPU accelerators and CUDA, collaborate with cross-functional teams to automate and streamline machine learning model deployment and monitoring, utilize Python 3.10 with libraries such as pandas, NumPy and TensorFlow to handle data processing and model development, set up infrastructure for continuous training, testing and deployment of machine learning models, ensure scalability, security and high availability in all machine learning operations by implementing best practices in MLOps  
4. Years of Experience: 5 years of experience in MLOps and building ML pipelines, 3 years of experience in GCP Vertex AI  
5. Education Qualification: NO DETAILS FOUND  
6. Skills/Knowledge: MLOps, Google Cloud Platform (GCP), Vertex AI, Python 3.10, pandas, NumPy, TensorFlow, GPU accelerators, CUDA, model monitoring, drift detection, data preprocessing, model training, model deployment, model lifecycle management, data versioning, model version control, TensorFlow Extended (TFX), ML workflow orchestration frameworks  
7. Key Competencies: Strong problem-solving skills, ability to work in a fast-paced environment, deep understanding of the MLOps lifecycle, automation of ML workflows, collaboration with cross-functional teams, ensuring scalability, security and high availability  
8. Domain/Industry: Machine Learning, Artificial Intelligence, Cloud Computing  
9. Employment Type: NO DETAILS FOUND  
10. Company Overview: NO DETAILS FOUND  
11. Benefits & Opportunities: NO DETAILS FOUND  
12. Location & Travel: NO DETAILS FOUND