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)
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally and scalability.
Support Cloud Migrations: Assist in planning and executing Cloud migrations for services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
excellent knowledge and experience with virtual machines and a deep understanding of Azure services. Additionally and scalability.
Support Cloud Migrations: Assist in planning and executing Cloud migrations for services, including but not limited to virtual machines, Azure Active Directory, Azure Networking, and virtualization technologies, particularly virtual machines, and experience managing virtual infrastructure
tools.
information hidden in vast amounts of data and assist in decision making. The successful candidate will distributions, statistical testing, regression, etc. Machine Learning and Analytics experience advantageous
information hidden in vast amounts of data and assist in decision making. The successful candidate will statistical testing, regression, etc.
their team. The ideal candidate has experience in machine learning and has a math's research background, with data visualization tools Strong knowledge of machine learning algorithms and statistical methods. Familiarity
testing calculations (in Excel or where gaps) on machine data Understanding key structures, data inputs Generate reports for customers' production & machine health data Conducting data mining activities for
field
Do:
- Leverage data analytics and machine learning to drive innovative solutions.
-
actionable insights.
- Work with cutting-edge machine learning tools and develop NLP and NLU models.