AI Operations Specialist

Tanqeeb; Doha; On-site; QAR 30,000 - 54,000; Full time

Job summary

Tanqeeb is seeking a junior AI Operations Specialist to execute day-to-day physical AI operations, including data collection, model training support, and edge deployment. You will work with robotics, IoT devices, and digital billboards, collaborating with external vendors and internal teams from concept to live site deployment.

The role combines hands-on technical tasks with creative ideation to prototype new physical AI use cases while ensuring security, privacy, and Responsible AI standards

Qualifications

• 0–2 years of experience in technical operations, deployments, or robotics.
• Hands-on experience with physical systems or edge hardware (e.g., Raspberry Pi, NVIDIA Jetson, Arduino) is preferred.
• Bachelor’s degree in Computer Science or Electrical Engineering is required.

Responsibilities

• Coordinate and execute data collection, annotation, and preprocessing for CV, NLP, and robotics models.
• Assist in installation, setup, and calibration of AI-enabled hardware and edge devices.
• Monitor uptime and health of deployments; perform first-line troubleshooting and escalate issues.
• Collaborate with vendors and internal teams to coordinate deployments and test integrations.
• Brainstorm and prototype new physical AI use cases (smart billboards, edge analytics, etc.).
• Build rapid prototypes and demonstrate concepts to stakeholders.
• Ensure operations comply with security, privacy, and Responsible AI guidelines.
• Maintain a central log of deployments and incidents for product improvement.

Skills

ML pipelines

Linux CLI

Python/C++

Hardware familiarity

Creative problem-solving

Education

BSc CS or EE

Job description

Job description

Job Summary

The AI Operations Specialist is a junior-level role responsible for executing day-to-day physical AI operations, including data collection, model training support, physical edge deployment, and ongoing system maintenance. This role combines hands-on technical execution (robotics, digital billboards, IoT edge devices) with creative innovation to brainstorm and prototype new physical AI use cases. Working in close collaboration with external vendors and internal engineering teams, the specialist will support the entire lifecycle of physical AI solutions from initial concept to live site deployment.

Job Responsibilities 1

Coordinate and execute high-quality data collection, annotation, and preprocessing workflows to support the training of computer vision, NLP, and robotics models.

Support the physical installation, setup, and calibration of AI-enabled hardware, including digital billboards, edge compute nodes, camera networks, sensors, and robotic assets.

Monitor operational uptime and system health of deployed physical AI installations, performing first-line troubleshooting and escalating bugs to engineering teams.

Collaborate closely with technology vendors and hardware suppliers to coordinate deployments, test integrations, and ensure rapid resolution of hardware-software conflicts.

Actively contribute creative ideas and conceptualize new physical AI use cases (e.g., smart interactive billboards, automated facility management solutions, edge intelligence) that solve real-world problems.

Build and test rapid prototypes of AI-integrated physical setups, evaluating feasibility and demonstrating concepts to internal stakeholders.

Ensure all physical AI operations, data gathering activities, and device management practices comply with security, privacy, and Responsible AI guidelines.

Maintain a central log of physical deployments, system configurations, and operational incidents to support continuous product improvement.

Job Knowledge & Skills

• Fundamental understanding of machine learning pipelines, specifically data collection, model training, and edge inference.
• Familiarity with Linux environments, command-line interfaces, and shell scripting.
• Basic programming skills (preferably in Python or C++) for automating simple operational tasks.
• Strong mechanical and electronic aptitude with the ability to safely assemble, connect, and configure physical IT/robotic components.
• Creative mindset with the ability to brainstorm and articulate new use cases for emerging technologies.

Job Experience

0 to 2 years of experience (Junior level) in technical operations, software/hardware deployments, or robotics.

Hands‑on experience with physical systems, edge hardware (e.g., Raspberry Pi, NVIDIA Jetson, Arduino), sensors, or basic electronics is highly preferred.

Prior experience with data gathering, model labeling tools, or manual system testing is a strong plus.

Competencies

• Agility
• AI Fluency
• Artificial Intelligence/Machine Learning L4
• Build High-Performing Teams
• Data Governance L4
• Data, Integration & Automation Management L4
• IT Service Management L4
• Leadership_321977503
• Operations Management L4
• Provide Direction
• Quality_321977507
• Resilience

Education

• Bachelor's Degree in Computer Science or Electrical Engineering