JOB DESCRIPTION

Position:

Engineer/Senior Engineer RAN Design & Evolution

Department:

Technology & IT

Division:

Access Network Development

HRMS ORG:

HUMAN RESOURCES DEPT

Compensation & Org. Design

GL CC:

Location:

AJM

Principal Functions (Major Areas of Responsibility):

· Analyze and enhance the Mobile Network performance to reach customer satisfaction and the best KPIs in coordination with all related teams.

· Generate Mobile Access and core Network development reports and proposals to maintain and enhance mobile data experience.

· Initiate an effective mobile data solutions.

· Daily Monitoring and Analysis of data utilization to identify data concerns and take adequate actions

Reporting Relationship

Director/Senior director Mobile Access RAN Design & Evolution

Engineer/Senior Engineer RAN Design & Evolution

Direct Subordinates

Jobs Reporting to the same Supervisor

As per the Approved Structure

As per the Approved Structure

Duties & Responsibilities :

1.

Perform End-to-End mobile-network Data Analysis activities.

2.

Track, monitor and evaluate all activities related to upgrade/enhance End-to-End data Mobile systems in all regions.

3.

Initiate technical specifications for equipment and mobile systems and arrange for implementation.

4.

Track daily implementation & development of performance parameters in both access and core mobile systems to ensure high network Performance and customer satisfactory.

5.

Track End-to-End Mobile Data implementation plan and coordinates with all teams for excellent data experience.

6.

Interact and follow up with vendors and subcontractors in resolving End-to-End data network issues.

7.

Advises consultants and contractors to resolve issues/ concerns impacting the plan/ design.

8.

Interact and follow up with vendors and subcontractors in developing End-to-End data mobile services and systems.

9.

Keeps abreast of new technologies, systems and developments in the Mobile Access End-to-End Data Network Development

10.

Generate technical/ operational reports for superiors as required

11.

Coordinates with subordinates in carrying out the assigned functions.

12.

Supervises contractors and optimize the mobile network End-to-End data performance to reach customer satisfaction.

13.

Interact and coordinate with the other teams in achieving the End-to-End mobile data tasks and milestones in a timely manner.

14.

Study & analyze data utilization in mobile system and provide recommendation to enhance the network performance.

15.

Monitoring the new/exist data applications & devices to ensure best customer practice

16.

Track and Ensure efficiency of End-to-End mobile data network with high-level customer satisfaction.

17.

Analyze and propose efficient probes/smart tools for advanced mobile data monitoring.

18.

Assists in the generation technical/ operational reports for superiors as required

Knowledge, Experience & Competencies

Formal Education Required:

Bachelor’s Degree in Engineering/ Telecommunications/ Electrical Engineering or equivalent

Related Professional Training, Certification or Membership:

Mandatory

Preferred

Years & Field of Experience required:

8 years experience in Mobile Access Network Planning

Job-Specific Competencies required to successfully perform the job

Expected level (1-4)

1.

Industry awareness and business acumen

3

2.

Team leading and Influencing

4

3.

Networking and Relationship building

3

4.

Project management skills

4

5.

Budgeting and control skills

4

6.

Knowledge of Etisalat Products and Services

4

7.

Competitor and Market Awareness

4

8.

Telecom Engineering Knowledge

4

9.

Knowledge of Etisalat network and Infrastructure

4

10.

Tendering, Technical evaluation and Negotiation skills

4

11.

Statistical and Operational reporting and analysis

4

12.

Knowledge of engineering /Manufacturers’ manuals, standards and procedures

3

13.

Network planning and Development skill

3

14.

Performance and Workforce management skills

4

15.

Contractor/suppliers relation management

4

16.

Software development, Upgrade, deployment skills

3

17.

Installation, Testing and Commissioning skills

3

Note:

1- Developing

2-Competent

3- Advanced

4- Expert

Interaction/Contacts

Contacts

Key Contact

Nature of Interaction

Internal (within the Corporation)

Central & Regional Engineering and other Etisalat Departments

Chairs and influence meetings; gives advice; formal presentations; discussions/negotiations; prepares reports of special/technical nature; manages internal. External customers; conflict resolution

External (outside the Corporation)

Contractors Suppliers/

Manufacturers; Other Regional/Global Telecom Agencies Prospective Vendors

Approvals & Signature

Prepared By:

Requesting Dept.

Date:

Reviewed By:

C&OD

Date:

Agreed by:

Div./Section Manager

Date:

CXO/EVP/GM (Reg./BU)

Date:

Approved by:

(For Director & above only)

CHRO

Date:

Approved by:

(For all positions up to Sr. Manager level)

D/C&OD

Date:

JOB DESCRIPTION

Position:

AI Full Stack Developer – Python

Department:

ND

Division:

CE Automation

HRMS ORG:

HUMAN RESOURCES DEPT.

Compensation & Benefits Div.

GL CC:

Location:

HO

Principal Functions (Major Areas of Responsibility):

· Research and evaluate state-of-the-art machine learning techniques, tools, and frameworks to stay current with the latest industry advancements.

· Validate and optimize machine learning models for accuracy, efficiency, and scalability.

· Communicate results and insights to stakeholders through data visualization and clear explanations.

· Work closely with product managers to understand business requirements and translate them into technical specifications.

· Extract, clean, and analyse datasets with Millions of rows using SQL, Click House, Mongo DB & Python

· Experience with Cloud environments and able to apply scientific techniques to find patterns in large, noisy, and rapidly changing real-world data sets.

· Experience in Deployment of stand-alone AI/ML Models on both Linux Cloud Servers & familiarity with Azure Mops Processes.

· Ensuring Repeatable pipelines to automate machine learning workflows for continuous integration/continuous delivery

· Continuously monitors model-performance metrics, detects data drift, and triggers retraining to improve model performance

· Collaborating with cross-functional teams to identify and prioritize data-driven projects that address key business challenges and opportunities.

· Developing and maintaining predictive and prescriptive models using advanced statistical and machine learning techniques.

· Designing and implementing efficient data pipelines to collect, clean, and preprocess large datasets from various sources.

· Communicating results and recommendations to both technical and non-technical audiences through clear and concise reports, presentations, and visualizations.

· Keeping up to date with the latest industry trends, tools, and best practices in data science to ensure the continuous improvement of our processes and capabilities.

· Design, develop, and implement machine learning models and algorithms to solve business problems.

· Collaborate with data scientists and engineers to integrate machine learning models into existing systems and applications.

· Analyze large and complex datasets to identify patterns, trends, and insights that can be used to improve model performance.

· Design, develop, and maintain Python & Java-based applications and services for Multiple platform

· Analyze user requirements and convert them into technical specifications

· Write clean, efficient, and reusable code while adhering to best practices and coding standards

· Perform unit and integration testing to ensure the quality and functionality of developed applications

· Troubleshoot, debug, and resolve issues in existing applications

· Document code and application features for future reference and maintenance purposes

Reporting Relationship

Director/ Software Factory & Customer Experience Automation

Engineer

Direct Subordinates

Jobs Reporting to the same Supervisor

Duties & Responsibilities :

· Research and evaluate state-of-the-art machine learning techniques, tools, and frameworks to stay current with the latest industry advancements.

· Validate and optimize machine learning models for accuracy, efficiency, and scalability.

· Communicate results and insights to stakeholders through data visualization and clear explanations.

· Work closely with product managers to understand business requirements and translate them into technical specifications.

· Extract, clean, and analyse datasets with Millions of rows using SQL, Click House, Mongo DB & Python

· Experience with Cloud environments and able to apply scientific techniques to find patterns in large, noisy, and rapidly changing real-world data sets.

· Experience in Deployment of stand-alone AI/ML Models on both Linux Cloud Servers & familiarity with Azure Mops Processes.

· Ensuring Repeatable pipelines to automate machine learning workflows for continuous integration/continuous delivery

· Continuously monitors model-performance metrics, detects data drift, and triggers retraining to improve model performance

· Collaborating with cross-functional teams to identify and prioritize data-driven projects that address key business challenges and opportunities.

· Developing and maintaining predictive and prescriptive models using advanced statistical and machine learning techniques.

· Designing and implementing efficient data pipelines to collect, clean, and preprocess large datasets from various sources.

· Analyzing and interpreting complex datasets to extract insights and generate actionable recommendations for stakeholders.

· Communicating results and recommendations to both technical and non-technical audiences through clear and concise reports, presentations, and visualizations.

· Keeping up to date with the latest industry trends, tools, and best practices in data science to ensure the continuous improvement of our processes and capabilities.

· Design, develop, and implement machine learning models and algorithms to solve business problems.

· Collaborate with data scientists and engineers to integrate machine learning models into existing systems and applications.

· Design, develop, and maintain Python & Java-based applications and services for Multiple platform

· Analyze user requirements and convert them into technical specifications

· Write clean, efficient, and reusable code while adhering to best practices and coding standards

· Perform unit and integration testing to ensure the quality and functionality of developed applications

· Troubleshoot, debug, and resolve issues in existing applications

· Document code and application features for future reference and maintenance purposes

Knowledge, Experience & Competencies

Formal Education Required:

A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Electrical/Computer Engineering or a related field.

Related Professional Training, Certification or Membership:

Mandatory

Preferred

Years & Field of Experience required:

2 - 5 Years

Job-Specific Competencies required to successfully perform the job

Expected level (1-4)

1.

Proficiency in programming languages such as Python, R, or Java 17+, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow).

4

2.

Working with different front end technologies and scripting languages such as and not limited to Javascript,HTML,HTML5,CSS, CSS3.

4

3.

Strong knowledge of various machine learning algorithms, including regression, classification, clustering, and ensemble methods.

4

4.

Knowledge in development standalone Python modules

3

5.

Experience in REST API with Python

3

6.

Proficient in Stored Procedures, SQL Queries with MySQL

4

7.

Experience with big data technologies such as Hadoop, Spark, or similar tools, and familiarity with SQL and NoSQL databases.

4

8.

Excellent problem-solving skills and the ability to think critically and creatively to develop innovative solutions to complex challenges.

4

9.

Strong communication and interpersonal skills, with the ability to work effectively both independently and as part of a team.

4

10.

LLM Hands-on experience

3

Note:

1- Developing

2-Competent

3- Advanced

4- Expert

Interaction/Contacts

Contacts

Key Contact

Nature of Interaction

Internal (within the Corporation)

External (outside the Corporation)

Approvals & Signature

Prepared By:

Requesting Dept.

Date:

Reviewed By:

C&B

Date:

Agreed by:

Div./Section Manager

Date:

CXO/EVP/GM (Reg./BU)

Date:

Approved by:

(For Director & above only)

CHRO

Date:

Approved by:

(For all positions up to Sr. Manager level)

D/C&B

Date: