Consultant Specialist

• Establish and maintain best practices for ML Ops, including version control, CI/CD pipelines and the Vertex AI Model Registry and End Points
• Implement MLOps tools to streamline model development, training, tuning, deployment, monitoring and explain
• Deploy and manage ML models on GCP's Vertex AI platform ensuring efficient and scalable execution
• Identify and address performance bottlenecks in ML models and pipelines
• Troubleshoot and resolve ML issues ensuring optimal model performance and costs
• Work closely with data scientists to prepare and preprocess data for model training and evaluation
• Assist in feature engineering and selection to ensure model performance
• Develop techniques to visualize and explain model behavior ensuring model transparency and accountability in-line with PRA SS1/23 guidelines
• Collaborate with infrastructure and DevOps teams to establish efficient deployment and scaling strategies

• Strong proficiency in ML Ops principles and tools
• Proficiency in data engineering and pipeline development
• Experience with GCP including Big Query, Cloud Composer and Vertex Al
• Strong problem-solving and analytical skills
• Strong proficiency in Python

Experience with Java

• Continuous professional development
• Flexible working
• Opportunities to grow
• Inclusive and diverse environment