AI Engineer

ESBAAR


موقع الوظيفة:

مسقط - عمان

الراتب شهرياً: لم يكشف
الخبرة المطلوبة: 1-3سنوات
تاريخ النشر: نُشرت قبل 9 ساعة
عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

ملخص الوظيفة

Develop novel state-of-the-art vision algorithms and corresponding systems leveraging deep learning techniques.

Research develop and prototype advanced computer vision technologies and integration with hardware edge processors.

Develop high-quality computer vision algorithms for localization object detection classification and video analysis.

Translate algorithms into production-level code.

Contribute to a large code base in Python for deploying these models in production environments.

Implement best practices for data collection preprocessing feature engineering and model training and ensure that the team follows these practices consistently

Conduct regular code reviews and provide technical guidance and feedback to team members ensuring that they produce high-quality code that is efficient scalable and maintainable.

Interface with the Product/Project manager to develop R&D plans proposals intellectual property filings commercialization strategies and other material that facilitate the innovation process.

Collaborate with Product/Project managers in maintaining a roadmap for the teams AI projects including identifying key milestones timelines and resource requirements.

Collaborate with team members to develop test deploy and maintain software/AI systems while being actively involved in product backlog grooming sprint planning execution review and retrospectives.

Work with IT software and security teams to deploy production grade AI solutions that comply with relevant data privacy and security regulations.

Collaborate with subject matter experts to understand their business needs and develop ML solutions that meet their requirements.


Requirements

Minimum Qualifications

Bachelors degree in AI Remote Sensing Survey Engineering or any other related fields

Minimum Experience:

Preferably 1-3 years experience in the same field

Job-Specific Knowledge & Skills:

Experience developing machine learning models and neural network-based computer vision models.

Experience deploying production grade ML and vision systems on the edge for real-time applications.

Python Knowledge.

Strong software engineering skills.

Strong ability to present work and communicate ideas to technical and non-technical coworkers.

Experience with machine learning libraries such as Tensorflow Keras Sklearn and others.

Experience using OpenCV.

Experience with git and other such versioning tools.

Experience with DevOps cloud tools (AWS Google Cloud etc.).

Experience with NVIDIA Triton inference server will be plus

Experience with MLOps tools such as Kubeflow will be a plus.

Experience with web development frameworks (e.g Flask Django) will be a plus

Experience handling a large code base in python will be a plus.

Experience developing computer vision algorithms for anomaly detection will be a plus.

Fluency in English.


Required Skills:

Key Competencies Strong understanding of accounting principles and financial reporting Basic knowledge of IFRS and regulatory compliance High level of integrity and confidentiality Strong analytical and problem solving skills Ability to work under pressure and meet deadlines Good communication skills with ability to interact with internal and external stakeholders Willingness to learn and grow into a leadership role 4. Qualification & Experience Omani National (mandatory) ACCA Qualified Minimum 3 years of relevant experience in finance or accounting Experience in audit firm or corporate finance function is an advantage 5. Performance Indicators Timely and accurate monthly financial reporting Quality of financial records and reconciliations Compliance with internal controls and policies Timely audit support and closure of audit observations Ability to independently handle assigned finance functions Readiness to take on Finance Manager responsibilities

Develop novel state-of-the-art vision algorithms and corresponding systems leveraging deep learning techniques. Research develop and prototype advanced computer vision technologies and integration with hardware edge processors. Develop high-quality computer vision algorithms for l...