AI Engineer | Parkonic Smart Parking Solutions | Dubai

Parkonic Smart Parking Solutions; Dubai; On-site; AED 230,000 - 420,000; Full time

Job summary

Parkonic Smart Parking Solutions in Dubai seeks an experienced AI Engineer with strong ML/DL model development skills to join the client engineering team on a full-time onsite basis. You will design, build, deploy, and monitor production AI models for smart parking and mobility platforms, ensuring reliability and performance.

Expect to collaborate with software engineering, product, and data science squads in Agile sprints, stay updated on AI trends, document architectures and runbooks, and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
• Minimum of 3 to 5+ years of progressive professional experience in software engineering, machine learning, and AI model deployment.
• Strong, demonstrable hands-on professional expertise in designing, building, and optimizing machine learning and deep learning models.
• Comprehensive working knowledge and practical proficiency in data preprocessing, statistical analysis, and large dataset handling.

Responsibilities

• Design, build, train, optimize, and deploy advanced machine learning and deep learning models for smart parking solutions.
• Preprocess, clean, transform, and analyze large-scale datasets to extract actionable business and operational insights.
• Deploy artificial intelligence solutions into secure production environments and implement continuous performance monitoring.
• Collaborate seamlessly with cross-functional software engineering, product management, and data science squads in Agile sprints.
• Implement cutting-edge AI-driven features, automated recommendation engines, and intelligent computer vision workflows.
• Conduct rigorous model evaluation, hyperparameter tuning, cross-validation, and performance profiling across datasets.
• Stay actively updated on emerging artificial intelligence trends, state-of-the-art research, and innovative technical solutions.
• Maintain accurate, comprehensive technical documentation of model architectures, training pipelines, and operational runbooks.

Skills

ML/DL modeling

Production deployment

Data preprocessing

Troubleshooting

Cross-functional collaboration

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

Python

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

Docker

Kubernetes

Job description

Position Summary

Parkonic Smart Parking Solutions is actively seeking an experienced, high-caliber, and technical AI Engineer with a strong professional background in artificial intelligence, machine learning, and deep learning model development to join our client engineering team on a full-time permanent on-site basis in Dubai. In this critical AI software engineering and innovation role, you will be responsible for designing, building, optimizing, and deploying machine learning and deep learning models into production environments. You will leverage your deep specialist expertise in predictive modeling, data preprocessing, and cross-functional feature implementation to deliver uncompromised model reliability, high predictive accuracy, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global smart parking technology enterprise.

Detailed Job Description

As an AI Engineer supporting Parkonic Smart Parking Solutions in Dubai, UAE, you will take full operational, tactical, and technical ownership of artificial intelligence model architecture, machine learning pipeline optimization, model deployment, and performance monitoring across mission-critical smart parking and mobility platforms. Your day-to-day responsibilities include designing, building, and optimizing sophisticated machine learning and deep learning models to address complex automation challenges, preprocessing, cleaning, and analyzing large-scale datasets to extract actionable business and operational insights, deploying AI solutions into robust production environments and continuously monitoring system performance, latency, and drift, collaborating closely with cross-functional software engineering, product development, and executive stakeholder squads in Agile sprint cycles to implement AI-driven features, staying actively updated on emerging artificial intelligence trends, research breakthroughs, and recommending innovative algorithmic solutions, preparing comprehensive technical documentation of model architectures, training datasets, and operational runbooks, and managing application requirements by sending your updated resume via direct email to Sarieta Parmar at [e-mail] or via LinkedIn direct message. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex algorithmic bottlenecks and inference latency anomalies under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with proficiency in Arabic and/or European languages as a strong advantage and Dubai on-site presence.

Key Responsibilities

• Design, build, train, optimize, and deploy advanced machine learning and deep learning models for smart parking solutions.
• Preprocess, clean, transform, and analyze large-scale datasets to extract actionable business and operational insights.
• Deploy artificial intelligence solutions into secure production environments and implement continuous performance monitoring.
• Collaborate seamlessly with cross-functional software engineering, product management, and data science squads in Agile sprints.
• Implement cutting-edge AI-driven features, automated recommendation engines, and intelligent computer vision workflows.
• Conduct rigorous model evaluation, hyperparameter tuning, cross-validation, and performance profiling across datasets.
• Stay actively updated on emerging artificial intelligence trends, state-of-the-art research, and innovative technical solutions.
• Maintain accurate, comprehensive technical documentation of model architectures, training pipelines, and operational runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
• Minimum of 3 to 5+ years of progressive professional experience in software engineering, machine learning, and AI model deployment.
• Strong, demonstrable hands-on professional expertise in designing, building, and optimizing machine learning and deep learning models.
• Comprehensive working knowledge and practical proficiency in data preprocessing, statistical analysis, and large dataset handling.
• Deep practical experience deploying AI solutions into production environments and monitoring system performance.
• Solid practical experience in Python, TensorFlow, PyTorch, scikit-learn, and modern data science development frameworks.
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure conditions.
• Mandatory legal work eligibility and physical availability for full-time on-site professional operations in Dubai.

Nice-to-Have Skills

• Bilingual proficiency in Arabic and/or European languages as a strong professional advantage for regional stakeholder collaboration.
• Professional certifications such as AWS Certified Machine Learning Specialty or Google Cloud Professional Machine Learning Engineer.
• Prior professional working experience in top-tier technology consulting firms, smart infrastructure companies, or AI product startups.
• Hands-on familiarity with MLOps platforms (MLflow, Kubeflow) and containerization tools (Docker, Kubernetes).
• Experience utilizing CI/CD deployment pipelines (GitHub Actions, GitLab CI) and enterprise agile tracking platforms (Jira, Confluence).

Application Information

• Recruiter: Parkonic Smart Parking Solutions Recruitment Division
• Contact Name: Sarieta Parmar (Senior Talent Acquisition Specialist)
• Email: `[e-mail]`
• Company Website: https://www.parkonic.com
• Salary/Rate: Market Competitive / Enterprise Smart Parking Package
• Deadline: Open until filled (Urgent Dubai AI Engineer Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time On-Site Engagement (Dubai)

Recruitment Pro Tip

When applying for this AI Engineer position through Parkonic, ensure your resume explicitly highlights your machine learning and deep learning model deployment portfolio, details your experience preprocessing large datasets and monitoring production AI systems, and highlights any proficiency in Arabic or European languages.