such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastructure Requirements: Knowledge and working with large scale data sets Machine learning techniques experience Working within an Identify and implement data mining / statistics / machine learning techniques Validate and test models Review
projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection to model building and data analytics. Experience with machine learning model deployment and monitoring. Strong Technologies: Big Data technologies (e.g., Hadoop, Spark) Machine learning frameworks (e.g., TensorFlow, PyTorch)
projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection to model building and data analytics. Experience with machine learning model deployment and monitoring. Strong Technologies: Big Data technologies (e.g., Hadoop, Spark) Machine learning frameworks (e.g., TensorFlow, PyTorch)
situations. Intermediate knowledge of Windows Virtual Machines Advanced knowledge of Windows Server 2016 and
Azure infrastructure components, including virtual machines, networking, storage, and security. Experience
object-oriented programming (OOP) – you dream in objects and classes. Database design and SQL prowess – you can navigate