Senior AI Engineer

Esbaar; Muscat; On-site; OMR 17,000 - 23,000; Full time

Job summary

Esbaar is seeking an AI/vision engineer to develop state-of-the-art computer vision algorithms and deploy them on edge hardware in production environments. You will integrate with hardware edge processors, translate models into robust Python code, and lead best-practice data handling, preprocessing, and model training.

You will collaborate with PMs and cross-functional teams to maintain an AI project roadmap, participate in code reviews, and ensure compliance with data privacy and security

Qualifications

• Bachelor's degree in AI, Remote Sensing, Survey, Engineering, or related field.
• 3+ years of experience in machine learning/vision.
• Experience deploying production-grade ML/vision systems on edge for real-time apps.
• Strong Python programming and software engineering skills.
• Experience with ML libraries such as TensorFlow, Keras, and Scikit-learn.
• Proficiency with OpenCV and version control (Git).
• Familiarity with cloud DevOps tools (AWS, GCP).
• Knowledge of data privacy and security considerations.

Responsibilities

• Develop novel state-of-the-art vision algorithms and systems using deep learning.
• Prototype advanced computer vision tech and integrate with edge hardware.
• Translate algorithms into production-grade code with robust testing.
• Lead code reviews and provide guidance to teammates for quality and scalability.
• Collaborate with PMs to align R&D plans and roadmaps for AI projects.
• Deploy and maintain AI systems in production across teams and teams.
• Contribute to backlog grooming, sprint planning, and retrospectives.
• Ensure compliance with data privacy and security regulations.

Skills

Python

Edge AI deployment

ML/Computer Vision

Data privacy

Presenting ideas

Team collaboration

Education

Bachelor's degree in AI/Remote Sensing/Engineering

Tools

TensorFlow

Keras

Scikit-learn

OpenCV

Git

AWS/GCP

NVIDIA Triton

Kubeflow

Flask/Django

Job description

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 ensuring adherence to all health, safety, and environmental regulations at local, national, and international levels. 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 amp D plans, proposals, intellectual property filings, commercialization strategies, and other material that facilitates the innovation process. Collaborate with Product Project managers in maintaining a roadmap for the team’s 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.

Minimum Qualifications:

Bachelor s degree in AI, Remote Sensing, Survey, Engineering, or any other related fields.

Minimum Experience:

Preferably 3-5 years experience in the same field.

Job-Specific Knowledge & Skills:

• Experience developing machine learning models and neural network-based computer vision models. (3+ years)
• Experience deploying production grade ML and vision systems on the edge for real-time applications. (3+years)
• Python expertise.
• 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.