MLOPS Professional

(Python, Machine Learning, Mlflow, Git, Docker, Apache Airflow, Azure Machine learning, PySpark, DataBricks) Design, develop and deploy ML platform and analytics applications for BrewVision platform Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Deploy machine learning models to production environments, ensuring high availability, scalability, and performance through Airflow pipelines Set up monitoring systems to track model performance, detect drift, and identify anomalies Model inferencing with optimized infrastructure using Fast Api and model registry (MLFlow) Automate pipeline orchestration with development in Apache Airflow Good knowledge on Machine Learning and Deep Learning algorithms Data Structures and Object oriented programming skills in python with time and space optimized Hands on experience with FastApi, MLFlow, Azure Machine learning, DataBricks Good to have knowledge on Docker, Kubernetes, GitHub pipelines