Machine Learning Engineer

EchoTwin AI, Inc.; Abu Dhabi; On-site; AED 180,000 - 250,000; Full time

Job summary

A leading tech company in Abu Dhabi is seeking a Computer Vision Engineer to join their innovative team. In this role, you will train and deploy machine learning models for object detection and predictive analytics. Candidates should possess a Master’s degree and 5+ years in computer vision and software development. Enjoy a dynamic work environment with opportunities for professional growth and benefits such as unlimited PTO and profit sharing.

Benefits

Learning and development opportunities

Medical, dental, and vision coverage

Flexible Spending Account (FSA)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Qualifications

• 5+ years of experience as a Computer Vision Engineer.
• 10+ years in software development and machine learning.
• Strong knowledge of machine learning concepts and algorithms.
• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.
• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).
• Familiarity with predictive analytics tools.
• Experience with MLOps practices.
• Proficiency in spoken and written English.

Responsibilities

• Collaborate with cross-functional teams for project success.
• Research and experiment with state-of-the-art tools in Machine Learning.
• Document processes and model performance.
• Train and deploy machine learning models for image and video processing.
• Design predictive models to analyze trends and support decision-making.

Skills

Machine Learning

Python

C++

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

Object detection

Image processing

Education

Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or related field

Tools

AWS

Job description

About Us

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

Responsibilities

Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

Research and experiment with state-of-the-art tools and techniques in Machine Learning.

Document processes, pipelines, and model performance thoroughly.

Computer Vision

Train and deploy machine learning models for object detection and classification in images and videos.

Preprocess and annotate image and video datasets for training purposes.

• Optimize deep learning models for efficiency and scalability in production.

Predictive Analytics

Design and implement predictive models to analyze trends, patterns, and anomalies.

Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

Experience

Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

5+ years of experience as a Computer Vision Engineer.

10+ years in software development and machine learning.

Strong knowledge of machine learning concepts and algorithms.

Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

Familiarity with predictive analytics tools.

Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

Experience with MLOps practices.

Proficiency in spoken and written English.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

Options for medical, dental, and vision coverage for employees and dependents (for US employees)

Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

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