Machine Learning Engineer

 Job Description

Looking for a Machine Learning Engineer with 5 to 7 years of experience, strong Azure Cloud and DevOps skills, and even stronger DABs DevOps skills, along with custom Databricks Asset Bundles implementation knowledge. **Responsibilities:** 1. Azure Cloud Engineer responsibilities. 2. Azure DevOps CICD experience for model deployment. 3. Strong Python knowledge. 4. Develop and maintain ETL pipelines using ADF and Databricks. 5. Translate business requirements into technical solutions. 6. Implementation of MLOps scalable solutions using AI/ML to reduce the risk of fraud and other fiscal crises. 7. Create MLOps architecture and implement it for multiple models in a scalable and automated way. 8. Design and implement end-to-end ML solutions. 9. Operationalize and monitor machine learning models using high-end tools and technologies. 10. Design and implement DevOps principles in Machine Learning. 11. Ensure data science quality assurance and testing. 12. Collaborate with data scientists, engineers, and other key stakeholders. **Good To Have:** 1. Experience with Databricks Lakehouse and Delta Live Tables. 2. Knowledge of Azure ADF. 3. Familiarity with Databricks Unity Catalog. 4. Ability to 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 an Agile way of working within Azure DevOps git