Service Manager - MS Operations

Job Description

• Looking for a highly skilled AI and Generative AI Specialist with a strong background in artificial intelligence, machine learning, and deep learning to develop and implement advanced AI models and solutions
• The ideal candidate will have a deep understanding of generative models, natural language processing (NLP), and computer vision, along with the ability to apply these technologies to solve complex problems

Responsibilities: -

1. Integrate AI and generative AI models into telecom service management processes to improve efficiency and service quality.
2. Utilize AI ML knowledge generative AI techniques, including GANs, VAEs, autoregressive models, and transformers to analyze large datasets and identify patterns, trends, and root causes of recurring problems.
3. Lead Proactive reactive problem management activities, including incident trend analysis, root cause analysis, and implementation of corrective actions.
4. Optimize and fine-tune AI models for performance, scalability, and accuracy.
5. Design and implement automation solutions for routine telecom service management tasks using AI technologies.
6. Work closely with network engineers/SMEs, data scientists, and service management teams to identify opportunities for AI-driven improvements and Delivery Service disciplines.
7. Chair review meetings and facilitate discussions to ensure timely identification of Problems and resolution of issues.
8. Monitor and report on problem management KPIs and metrics, identifying areas for improvement and implementing preventive measures.
9. Provide guidance and mentorship to team members on processes and techniques.
10. Advancements in practices, recommending innovative solutions for continuous improvement.
11. Initiate process development, review / validate process and participate in process sign off.
12. Co-ordinate and lead root cause investigation for key Incidents
13. Govern SLA KPI Reporting - problem management.
14. Creates value for the customer by Timely and quality completion of engineering service delivery with a clear focus on optimal capacity and performance level of the network.
15. Managing operation of the Network in the most cost-effective way, including maximization of availability, accessibility, usability, and quality of service.
16. Creates value for Organization by implementing strategies for improved work productivity and efficiency.
17. Responsible for implementing strategies in own site/technology/ functional area

Requirements:-

1. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Keras.
2. Strong understanding of generative models (GANs, VAEs, transformers, etc.).
3. Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy).
4. Experience with telecom-specific technologies and protocols (e.g., 5G, LTE, VoIP).
5. Knowledge of computer vision techniques and tools (e.g., OpenCV, YOLO).
6. Handson/Work Exp with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).

• Data Analyst/Scientist.
• Adept at report writing and presenting findings.
• Strong analytical and problem-solving skills, with the ability to think creatively to tackle complex challenges.
• Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work under pressure and meet tight deadlines.
• ITIL Foundation/Intermediate Certification
• Data analysis languages
• AI ML concepts

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