Machine Learning Consultant
About the job
Job Description: Machine Learning: • 1. Python (Advance level with complex algorithms) • 2. R (Advance level with complex algorithms) Visualization • 1. Monitoring with Prometheus and Grafana • 2. Tableau and Click View Container and Storage: 1. Kubernetes and Docker Working knowledge of Data Management Platforms: • 1. NiFi, Kafka, HDFS, Hive • 2. PostgreSQL • 3. NetApp storage • 4. IBM Spectrum Scale storage • 5. FreeIPA role-based access control (RBAC) Domain Knowledge: • 1. Approx. 8 to 15 years’ industry experience, preferably in Telecom. Major part of this in the implementation of artificial intelligence-based technologies to enhance operations and processes. • 2. Sound knowledge of Cisco hardware, RF, RAN, Transport, Core and Applications. • 3. OR Previous working experience as a Machine Learning/ Data Scientist for more than 10 years • 4. Master or greater degree in Data science, computer science, mathematics, or statistics from a nationally or internationally recognized institution. Roles and Responsibility: • 1. The ML specialist/consultant will include the development of strategic related outlooks, roadmaps with tangible milestones and deliverables. • 2. This role requires the ability to guide and mentor multidisciplinary technology teams, support development of training plans for employees within the field of Artificial Intelligence and Machine Learning. • 3. Propose new strategies and develop plans to expand the field of application of Machine learning and artificial intelligence within Telecom Network space. • 4. Maintain up to date on new trends and techniques for data science-based applications in wireless or wireline network to ensure a resilient plan for value realization.
Requirements
- Python
- R
- Kubernetes
- Docker
- Tableau
- Prometheus
- Grafana
Qualifications
- Master's degree in Data science
- Computer Science
- Mathematics
- Statistics
Preferred Technologies
- Python
- R
- Kubernetes
- Docker
- Tableau
- Prometheus
- Grafana
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