284 Machine Vision jobs in Bahrain

• Design, develop, and implement state-of-the-art machine learning models for computer vision tasks such as image classification, object detection, segmentation, and tracking.
• Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
• Process, clean, and label large datasets for training and evaluating computer vision models.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Conduct rigorous experimentation and validation of model performance, focusing on accuracy, efficiency, and robustness.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Contribute to the development of scalable and efficient ML pipelines for training and deployment.
• Write clean, well-documented, and maintainable code.
• Mentor junior machine learning engineers and contribute to team knowledge sharing.
• Participate in the full ML lifecycle, from conceptualization and data gathering to model deployment and monitoring.

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Minimum of 5-7 years of hands-on experience in machine learning, with a strong focus on computer vision.
• Proven experience in developing and deploying deep learning models for computer vision applications.
• Proficiency in Python and extensive experience with ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and software engineering principles.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities, with experience working in distributed teams.
• Passion for innovation and a desire to work on challenging AI problems.

• Develop and deploy advanced computer vision models.
• Design and implement deep learning architectures for vision tasks.
• Manage the ML lifecycle: data, training, evaluation, deployment.
• Collaborate with engineering and product teams.
• Optimize model performance and scalability.
• Contribute to MLOps and ML infrastructure development.
• Stay updated on cutting-edge computer vision research.

• Master's or Ph.D. in CS, AI, or related field.
• 5+ years of experience in ML engineering, with a focus on Computer Vision.
• Expertise in Python, TensorFlow, PyTorch, OpenCV.
• Strong understanding of deep learning for vision tasks.
• Experience with data preprocessing and feature engineering.
• Excellent problem-solving and analytical skills.

• Lead the design, development, and implementation of computer vision models.
• Build and maintain scalable machine learning pipelines for computer vision tasks.
• Develop and optimize deep learning architectures for image and video analysis.
• Collaborate with product managers and engineers to define project requirements.
• Deploy ML models into production environments and monitor their performance.
• Mentor and guide junior machine learning engineers and data scientists.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Contribute to the strategic direction of the AI and ML roadmap.
• Conduct rigorous experimentation and model evaluation.
• Write clean, efficient, and well-documented code.

• Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• Minimum of 6 years of experience in machine learning, with a strong focus on computer vision.
• Proven experience leading ML projects and mentoring team members.
• Expertise in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of computer vision techniques (e.g., CNNs, R-CNNs, YOLO, GANs).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Proficiency in data manipulation and analysis libraries (e.g., NumPy, Pandas).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

• Design, develop, and implement advanced machine learning and deep learning models, with a focus on computer vision.
• Process and analyze large-scale image and video datasets for model training.
• Implement and optimize computer vision algorithms for tasks such as object detection, image classification, and segmentation.
• Utilize deep learning frameworks like TensorFlow, PyTorch, and Keras.
• Develop and manage data pipelines for model training and evaluation.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with cross-functional teams, including data scientists and software engineers.
• Stay abreast of the latest research and advancements in AI, machine learning, and computer vision.
• Contribute to the architecture and design of AI systems and platforms.
• Publish research findings or contribute to internal knowledge sharing.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in AI/Machine Learning engineering, with a specialization in Computer Vision.
• Strong proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, OpenCV, Scikit-learn).
• Proven experience in deploying ML models in production environments.
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and teamwork abilities.

Bachelors in Computer Application (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description:

This job involves international travel several times a year, usually for one week at a time.

Location: This role will be based remotely in EMEA or the Americas regions.

• Write high quality, rigorously designed Python and Golang software.
• Collaborate proactively with a globally distributed team.
• Debug issues and produce high quality code to fix them.
• Contribute to technical documentation that define best practices for authoring high quality operators.
• Discuss ideas and collaborate on finding good solutions.
• Develop and maintain software for delivery, operations and life-cycle management of Ceph storage.

• You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree.
• You have experience with writing modern, maintainable Python.
• You have experience with Ceph storage.
• You love technology and working with brilliant people.
• You are curious, flexible, articulate, and accountable.
• You value soft skills and are passionate, enterprising, thoughtful, and self-motivated.
• You have interest and experience with two or more of the following: Linux, Kubernetes, Public cloud, OpenStack, LXC/LXD, Python, Go, Debian packaging.
• An exceptional academic track record from both high school and preferably university.
• Willingness to travel up to 4 times a year for internal events.

• Experience operating Ceph clusters in production.
• Experience with open source distributed storage such as Gluster, Minio, Mayastor or similar.

Company Industry: IT - Software Services

Department / Functional Area: IT Software

Keywords: Software Engineer

• Design and develop responsive Web UIs using HTML5, CSS, JavaScript, and modern UI frameworks.
• Build and maintain ASP.Net MVC applications with seamless integration between front-end and back-end.
• Develop and consume RESTful APIs using ASP.Net Web API.
• Implement secure, high-performing, and scalable .NET-based web solutions.
• Collaborate with cross-functional teams including UI/UX designers, QA engineers, and DevOps.
• Design and interact with relational databases; write efficient SQL queries and work with stored procedures.
• Ensure cross-browser compatibility and responsive design for desktop and mobile platforms.
• Follow best practices for software development, including code reviews, unit testing, and documentation.
• Continuously improve application performance and maintainability.
• Mentor junior team members and contribute to technical design discussions.
  
  

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or another related field.
• Overall 8+ years of professional experience in software development, and 5+ years with extensive focus on Web UI and .NET-based applications.
• Strong proficiency in JavaScript, HTML5, CSS (including Flexbox, Grid, etc.).
• Expertise in ASP.Net MVC and Web API development.
• Experience developing responsive and cross-browser compatible user interfaces especially with Internet Explorer 11.
• Thorough knowledge of ECMA 5/6 standards.
• Proficient in working with relational databases (e.g., SQL Server, PostgreSQL), including writing queries, stored procedures, and optimization.
• Knowledge of web application security and performance optimization.
• Familiarity with version control systems such as Git, or Bit Bucket.
• Strong analytical, debugging, and troubleshooting skills.
• Excellent communication and teamwork abilities.
• Experience with JavaScript frameworks like Bootstrap, Knockout, JQuery.
• Experience with modern JavaScript frameworks (e.g., React, Angular, Vue.js).
• Experience with C# language and Dot Net.
• Familiarity with containerization concepts, hands-on experience is a plus.
• Knowledge of Entity Framework or other ORM tools.
• Knowledge of Unit Testing with frameworks like XUnit, NUnit, MSTest, etc.
• Understanding of Agile methodologies (Scrum, Kanban).
  
  

• High levels of initiative, along with the ability to work with minimal oversight, and capability to multitask.
• A team player, with willingness to assist other team members through brainstorming, review, mentorship, or knowledge-sharing to improve the performance of the team.
• Ability to understand and articulate good architectural and design principles.
• Strong written and verbal communication skills, including the ability to present complex information in a succinct and easy to understand manner.
• Experience working in an agile development environment.
• Drive for continuous learning and self-improvement.
• Familiarity with continuous integration and deployment.
• Experience developing and deploying on major cloud services platforms (IAAS, PAAS) such as AWS and Azure.
  
  

• Competitive salary.
• Monthly transport allowance.
• Bahrain visa Sponsorship for you and your family.
• Sponsored flight back to Home Country once per annum for you and your family.
• Medical Insurance for you and your Family.
• A collaborative and innovative team environment.
• Opportunities for learning, development, and career advancement.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

HPC is an important and technically challenging compute domain, with specialised tooling and a very high expectation of precision, efficiency and automation. This role is for a software engineer to join our HPC team to deliver an outstanding HPC experience - from bare metal to public cloud - as part of the broader Ubuntu platform. We are looking for a range of skills and experience, and will work on everything from the kernel to Debian packaging, but the heart of our effort will be Python software development for automation of key software in the HPC sphere. Our focus is on delivering a world class experience for the operation of the HPC cluster itself.

You will be part of the team that delivers charms that deploy and manage the HPC cluster and provide HPC software packages.

To succeed in this application you must be outstanding at maths and sciences, have built high quality software, have learned about open source ideally by working on it directly, and be looking for an engineering role with a company that makes mission-critical products for the global market. You should also be familiar with the open source environment, and want to build products in partnership with a community. Ideally, you should have some experience of high performance computing environments and a desire to unlock HPC for the world.

For this role you must have experience with Python. Experience in HPC environments is a strong advantage. Familiarity with HPC hardware and software is also a strong advantage - delivering great experiences with Infiniband, RDMA, CUDA, MPI, Slurm, Lustre, Singularity and related technologies will be central to this team's work. It will also be advantageous to have experience with Docker image design and operations, and public cloud image design and operations.

Location: This role will be based remotely in EMEA or the Americas regions

What your day will look like

• Write high quality, rigorously designed Python software
• Collaborate proactively with a globally distributed team
• Debug issues and produce high quality code to fix them
• Contribute to technical documentation that define best practices for authoring high quality operators
• Discuss ideas and collaborate on finding good solutions
  
  

• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• You have experience with writing modern, maintainable Python
• You love technology and working with brilliant people
• You are curious, flexible, articulate, and accountable
• You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
• You have interest and experience with two or more of the following: Linux, Kubernetes, Public cloud, OpenStack, LXC/LXD, Python, Go, Debian packaging
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events
  
  

• Experience operating HPC clusters in production
• Experiences with Infiniband, RDMA, CUDA, MPI, Slurm, Lustre, and/or Singularity
  
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events
  
  

This is a general track for security-focused engineering in every team at Canonical, across all levels of seniority. Apply here if you are already an exceptional security-focused software engineer.

Most product engineering teams at Canonical include one or two spaces for dedicated security-oriented software engineers. Their role is to challenge the entire team to think more deeply about security. They contribute to the product as engineers too, but their primary focus is to improve security through state of the art practices - from table-top threat model exercises to architecture reviews, from extended security testing with fuzzers and static analysis tools to external security analyst liaison.

We also build a number of products that are entirely motivated by security technology and requirements, such as our AppArmor kernel investments and our hardening, compliance and certification toolkits for Ubuntu.

As the publisher of Ubuntu we also handle long-term security response and hardening for the entire operating system and open source universe. Working with tens of thousands of upstreams means that we need to be fluent in every major programming language, and design, build and adopt sophisticated tools that enable us to work at scale and speed with confidence.

These roles encompass all aspects of product security, including feature development, vulnerability response, proactive security and open source community participation. All security roles interact closely with many of the other Canonical engineering and development teams, Canonical customers and our partners across the open source community.

Location: We have open roles for security specialist software engineers in every timezone.

What you'll do

Security roles might tackle any of the following:

• Define, implement and document new security features
• Lead security-oriented thinking in a product engineering team
• Analyze, fix, and test vulnerabilities in Canonical and open source Software
• Contribute to Ubuntu and upstream projects to benefit the community
• Audit and analyze source code for vulnerabilities
• Integrate new tools in our security infrastructure, pipelines and processes
• Achieve and retain various security certifications
• Extend and enhance Linux cryptographic components - specifically with modules such as OpenSSL/Libgcrypt - with the features and functionality required for country-specific compliance such as FIPS and CC certification
• Work with external partners to develop CIS benchmarks
• Design and develop hardening automation for Ubuntu
• Monitor the security industry for new developments
• Develop, test and maintain new software capabilities
• Provide guidance and support to other engineering teams
  
  

• An exceptional academic track record from both high school and university
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above-and-beyond expectations
• A thorough understanding of the common categories of security vulnerabilities
• Modern engineering techniques to find and fix them
• Familiarity with open source development tools and methodologies
• Skill in one or more of C, Python, Go, Rust, Java, Ruby or PHP
• Experience as a security champion
• Experience driving security within a wider SDLC process
• Professional written and spoken English
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Passion, thoughtfulness, and self-motivation
• Excellent communication and presentation skills
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks each
  
  

• Clear and effective communication with the team and Ubuntu community members
• Experience working with Linux Kernel
• Security Certification experience and knowledge in FIPS and/or CC
• Experience with OVAL (Open Vulnerability Assessment Language)
• Knowledge of and familiarity with low-level Linux cryptography APIs
• Demonstrated high learning ability
• Performance engineering experience
  
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events