Job
Description
As a highly skilled MLOps Engineer at a Fortune Global 500 organization like UPS, you will have the opportunity to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will collaborate with technical teams to develop state-of-the-art machine learning systems that add value to the business. **Key Responsibilities:** - Managing the deployment and maintenance of machine learning models in production environments - Monitoring model performance using metrics like accuracy, precision, recall, and F1 score - Troubleshooting and resolving problems, documenting issues, and managing model versions for audit and rollback - Analyzing monitoring data to identify potential issues proactively and providing performance reports to stakeholders - Optimizing queries and pipelines - Modernizing applications when necessary **Qualifications:** - Expertise in programming languages like Python and SQL - Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems - Understanding of Machine Learning concepts, models, and algorithms, including traditional regression, clustering models, and neural networks - Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines, Cloud Monitoring, Kubernetes, etc. - Strong oral and written communication skills with the ability to prepare detailed technical documentation - Bachelors Degree in a quantitative field or equivalent job experience **Bonus Qualifications:** - Experience in Azure MLOPS - Familiarity with Cloud Billing - Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features - Experience working in an Agile environment and understanding of Lean Agile principles UPS is dedicated to fostering a workplace free of discrimination, harassment, and retaliation. As a highly skilled MLOps Engineer at a Fortune Global 500 organization like UPS, you will have the opportunity to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). Your responsibilities will include automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will collaborate with technical teams to develop state-of-the-art machine learning systems that add value to the business. **Key Responsibilities:** - Managing the deployment and maintenance of machine learning models in production environments - Monitoring model performance using metrics like accuracy, precision, recall, and F1 score - Troubleshooting and resolving problems, documenting issues, and managing model versions for audit and rollback - Analyzing monitoring data to identify potential issues proactively and providing performance reports to stakeholders - Optimizing queries and pipelines - Modernizing applications when necessary **Qualifications:** - Expertise in programming languages like Python and SQL - Solid understanding of best MLOps practices and concepts for deploying enterprise-level ML systems - Understanding of Machine Learning concepts, models, and algorithms, including traditional regression, clustering models, and neural networks - Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines, Cloud Monitoring, Kubernetes, etc. - Strong oral and written communication skills with the ability to prepare detailed technical documentation - Bachelors Degree in a quantitative field or equivalent job experience **Bonus Qualifications:** - Experience in Azure MLOPS - Familiarity with Cloud Billing - Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features - Experience working in an Agile environment and understanding of Lean Agile principles UPS is dedicated to fostering a workplace free of discrimination, harassment, and retaliation.
