Role : MLOps Engineer Location: Princeton, NJ (3 days onsite) Duration: Long Term Job Description: Looking for 5 to 7 years experience of ML Engineer with strong Azure Cloud DevOps with even stronger DABs DevOps skills with custom Databricks Asset Bundles implementation knowledge 1 Azure Cloud Engineer 2 Azure DevOps CICD experience 3 ML Engineer for model deployment 4 Strong Python knowledge 5 Develop and maintain ETL pipelines using ADF and Databricks Good To Have 1 Databricks Lakehouse Delta Live Tables 2 Azure ADF 3 Databricks Unity Catalog 4 Build and optimize Lakehouse using Delta Lake and Databricks SQL 5 Write efficient PySpark code for data transformation and aggregation 6 Core software engineering expertise with Agile way of working within Azure DevOps git Translate business requirement into technical solution Implementation of MLOps Scalable solution using AIML and reduce the risk of Fraud and other fiscal crisis Creating MLOps Architecture and implementing it for multiple models in a scalable and automated way Designing and implementing end to end ML solutions Operationalize and monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Data Science quality assurance and testing Collaborate with data scientists engineers and other key stakeholders