1 067 Image Analysis jobs in Bahrain
Machine Learning Engineer (Computer Vision)
821, 704 Southern, Southern
BHD75000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is looking for a talented Machine Learning Engineer with a specialization in Computer Vision to join their cutting-edge team in Nuwaidrat, Southern, BH . This role involves designing, developing, and deploying advanced machine learning models for image and video analysis. You will work on challenging problems such as object detection, image segmentation, facial recognition, and gesture analysis. Your responsibilities will include data preprocessing, feature engineering, model training and evaluation, and optimizing models for production environments. This position requires a deep understanding of deep learning frameworks like TensorFlow or PyTorch, proficiency in Python, and experience with libraries such as OpenCV and scikit-learn. You will collaborate with cross-functional teams, including software engineers and product managers, to integrate ML solutions into our client's products and services. The ideal candidate possesses a strong research background, a passion for staying updated with the latest advancements in AI and computer vision, and a proven ability to develop robust and scalable ML systems. Experience with cloud platforms like AWS, Azure, or GCP is highly desirable. You will contribute to the entire ML lifecycle, from conceptualization and experimentation to deployment and monitoring. This is an exceptional opportunity to work on impactful projects that leverage AI to solve real-world problems and drive technological advancement. A strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex technical concepts effectively are essential. You will play a key role in shaping the future of AI-driven solutions for our client.
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer - Computer Vision
20540 Southern, Southern
BHD85000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer specializing in Computer Vision to join their rapidly growing, fully remote team. You will play a critical role in developing and deploying state-of-the-art computer vision models that drive groundbreaking applications. This position offers the unique opportunity to work on challenging problems, leverage massive datasets, and contribute to impactful AI solutions. The ideal candidate possesses a strong theoretical understanding of machine learning and deep learning, combined with practical experience in building and optimizing computer vision systems. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Experience with frameworks like TensorFlow, PyTorch, and libraries such as OpenCV is essential. This remote role requires a high degree of autonomy, strong programming skills in Python, and the ability to collaborate effectively with a geographically dispersed team. You will stay abreast of the latest research in computer vision and machine learning, translating cutting-edge techniques into practical applications. Your work will involve areas such as image classification, object detection, segmentation, and generative models. We are looking for a passionate individual eager to push the boundaries of what's possible with AI. The ability to communicate technical concepts clearly to both technical and non-technical audiences is highly valued. This is a chance to make a significant impact in the field of AI and emerging technologies.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks.
- Train, evaluate, and optimize deep learning models using large datasets.
- Implement and fine-tune various computer vision algorithms (e.g., CNNs, object detection models).
- Develop data preprocessing and augmentation pipelines for image and video data.
- Deploy ML models into production environments, ensuring scalability and performance.
- Collaborate with software engineers to integrate ML models into applications.
- Stay current with the latest research and advancements in AI and computer vision.
- Write clean, efficient, and well-documented code.
- Participate in code reviews and contribute to team best practices.
- Experiment with new ML architectures and techniques.
- Troubleshoot and debug ML model issues.
- Communicate findings and results to stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 3+ years of hands-on experience in machine learning engineering, with a focus on computer vision.
- Strong proficiency in Python and ML/DL frameworks (TensorFlow, PyTorch).
- Experience with computer vision libraries like OpenCV, scikit-image.
- Solid understanding of deep learning architectures (CNNs, RNNs, Transformers) and their application to vision tasks.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML services is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer - Computer Vision
22408 Arad
BHD130000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer specializing in Computer Vision to join their globally distributed, remote-first team. This role will involve designing, developing, and deploying cutting-edge machine learning models for image and video analysis. You will work on challenging problems that leverage the power of computer vision to create intelligent systems. This is a fantastic opportunity to work with state-of-the-art technologies and contribute to groundbreaking AI applications. The ideal candidate is passionate about pushing the boundaries of machine learning and has a strong theoretical and practical understanding of deep learning techniques for visual data.
Responsibilities:
Responsibilities:
- Develop, train, and deploy deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Design and implement efficient algorithms for real-time image and video processing.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Perform data preprocessing, feature engineering, and model evaluation.
- Research and stay updated on the latest advancements in computer vision and deep learning.
- Optimize model performance for speed, accuracy, and resource efficiency.
- Conduct A/B testing and experiments to validate model improvements.
- Document code, models, and experiments thoroughly.
- Contribute to the overall ML infrastructure and tooling.
- Work effectively in a remote, collaborative team environment.
- M.S. or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field.
- Proven experience in developing and deploying computer vision models using frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of deep learning architectures (e.g., CNNs, Transformers, GANs).
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools.
- Solid grasp of linear algebra, calculus, and probability theory.
- Excellent problem-solving skills and ability to tackle complex challenges.
- Strong communication and collaboration skills, especially in a remote setting.
- Experience with large-scale datasets and distributed training is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer - Computer Vision
00971 Arad
BHD115000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a talented and driven Machine Learning Engineer with a specialization in Computer Vision to join their innovative R&D team. This role is focused on developing and deploying cutting-edge machine learning models and algorithms for image and video analysis. You will be involved in the entire machine learning lifecycle, from data preparation and model training to deployment and performance optimization. The ideal candidate will have a strong academic background and practical experience in deep learning frameworks and computer vision techniques.
Key Responsibilities:
This position offers a hybrid work arrangement, suitable for candidates in the vicinity of Jidhafs, Capital, BH , providing a balance between remote flexibility and in-office collaboration. Our client is at the forefront of AI innovation and seeks a candidate passionate about applying computer vision to solve real-world problems. Excellent analytical skills and a strong understanding of mathematical concepts underpinning machine learning are essential.
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks such as object detection, image classification, segmentation, and tracking.
- Utilize deep learning frameworks like TensorFlow, PyTorch, or Keras to build and train models.
- Process and pre-process large datasets of images and videos for model training.
- Evaluate model performance using appropriate metrics and techniques.
- Optimize models for performance, efficiency, and deployment on various platforms.
- Collaborate with software engineers and researchers to integrate ML models into applications and systems.
- Stay current with the latest research and advancements in machine learning and computer vision.
- Develop and maintain robust ML pipelines and MLOps practices.
- Conduct experiments, analyze results, and present findings to the team.
- Contribute to the definition of ML project requirements and roadmaps.
- Troubleshoot and debug issues related to model training and deployment.
This position offers a hybrid work arrangement, suitable for candidates in the vicinity of Jidhafs, Capital, BH , providing a balance between remote flexibility and in-office collaboration. Our client is at the forefront of AI innovation and seeks a candidate passionate about applying computer vision to solve real-world problems. Excellent analytical skills and a strong understanding of mathematical concepts underpinning machine learning are essential.
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer - Computer Vision
555 Saar, Northern
BHD120000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking a talented and innovative Machine Learning Engineer specializing in Computer Vision to join their cutting-edge AI research and development team. This is a fully remote position, offering a fantastic opportunity to contribute to groundbreaking projects from your home office. The ideal candidate will have a strong foundation in machine learning, deep learning, and computer vision algorithms, with hands-on experience in developing and deploying sophisticated CV models. You will be responsible for designing, implementing, and optimizing machine learning models for image and video analysis, object detection, recognition, and tracking.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision applications.
- Perform data collection, annotation, preprocessing, and augmentation for training ML models.
- Experiment with various deep learning architectures and frameworks (e.g., TensorFlow, PyTorch).
- Train, evaluate, and fine-tune models to achieve high accuracy and performance.
- Develop and deploy ML models into production environments.
- Collaborate with software engineers to integrate CV capabilities into existing products and services.
- Conduct research into state-of-the-art computer vision techniques and algorithms.
- Optimize ML models for efficiency, speed, and scalability.
- Analyze and interpret model results, providing actionable insights.
- Stay current with advancements in the field of AI and computer vision.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 3+ years of hands-on experience in machine learning and deep learning, with a specialization in computer vision.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, Scikit-learn.
- Solid understanding of image processing techniques, convolutional neural networks (CNNs), and other CV algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Strong software engineering skills, including experience with version control (Git).
- Ability to work independently and manage multiple projects in a remote setting.
- Excellent problem-solving and analytical skills.
- Strong communication skills to present findings and collaborate with the team.
- Experience with large-scale datasets and distributed training is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer - Computer Vision
972 Sidon
BHD145000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Machine Learning Engineer with a specialization in Computer Vision to join their innovative AI research and development team. This role is central to developing and deploying cutting-edge computer vision models that power our next-generation products. You will work on challenging problems related to image recognition, object detection, segmentation, and video analysis. The ideal candidate possesses a strong foundation in machine learning, deep learning, and computer vision algorithms, coupled with robust software engineering skills. You will be instrumental in bringing state-of-the-art AI research from prototype to production, impacting millions of users. Collaboration with data scientists, software engineers, and product managers will be essential for success.
Responsibilities:
Qualifications:
This is an excellent opportunity for a talented Machine Learning Engineer to work on impactful computer vision projects. If you are passionate about AI and eager to contribute to innovative solutions, apply today.
Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks, including image classification, object detection, segmentation, and tracking.
- Build and optimize deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
- Preprocess and augment large image and video datasets for model training.
- Evaluate model performance using appropriate metrics and conduct rigorous experimentation.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.
- Collaborate with software engineers to integrate ML models into existing or new products and services.
- Stay up-to-date with the latest research and advancements in machine learning and computer vision.
- Troubleshoot and debug ML models and production systems.
- Work with MLOps tools and practices for model versioning, deployment, and monitoring.
- Contribute to the overall AI strategy and roadmap of the company.
- Write clean, efficient, and well-documented code.
- Participate in code reviews and knowledge sharing sessions.
- Research and implement novel algorithms and techniques to solve complex computer vision problems.
- Present findings and progress to technical and non-technical audiences.
- Ensure ethical considerations and bias mitigation are addressed in model development.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying computer vision models.
- Strong understanding of deep learning concepts and architectures (e.g., CNNs, Transformers).
- Proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with computer vision libraries such as OpenCV.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps principles.
- Strong software engineering skills and experience with version control (Git).
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong communication and collaboration skills, comfortable working in a hybrid environment in Isa Town, Southern, BH .
- Ability to work both independently and as part of a team.
- Experience with large-scale data processing is a plus.
This is an excellent opportunity for a talented Machine Learning Engineer to work on impactful computer vision projects. If you are passionate about AI and eager to contribute to innovative solutions, apply today.
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Engineer - Computer Vision
65432 Zallaq, Southern
BHD110000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Machine Learning Engineer specializing in Computer Vision to join their advanced AI research and development team in **Zallaq, Southern, BH**. This role is at the forefront of developing cutting-edge AI solutions that leverage visual data. You will be responsible for designing, implementing, and deploying machine learning models for tasks such as image recognition, object detection, video analysis, and augmented reality. Your work will involve data preprocessing, feature engineering, model training, validation, and optimization. You will collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into new and existing products. The ideal candidate will possess a deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), computer vision algorithms, and best practices for building robust and scalable AI systems. Experience with large-scale datasets and cloud computing platforms is essential. You will stay current with the latest research and advancements in the field of computer vision and machine learning, actively contributing to the team's innovative efforts. This is a challenging and rewarding opportunity to work on transformative AI projects and make a significant impact in the field of emerging technologies.
Key Responsibilities:
Key Responsibilities:
- Develop and implement machine learning models for computer vision tasks.
- Design and optimize deep learning architectures for image and video analysis.
- Preprocess, clean, and manage large visual datasets.
- Train, validate, and deploy ML models in production environments.
- Collaborate with cross-functional teams on AI product development.
- Stay updated with the latest research in computer vision and ML.
- Optimize model performance and efficiency.
- Contribute to the overall AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Machine Learning or Computer Vision.
- 3-5 years of hands-on experience in machine learning engineering, with a focus on computer vision.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Experience in the **Zallaq, Southern, BH** region is a plus.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Image analysis Jobs in Bahrain !
6
Machine Learning Engineer (Computer Vision)
3020 Southern, Southern
BHD90000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Machine Learning Engineer specializing in Computer Vision to join their cutting-edge R&D team in Nuwaidrat, Southern, BH . This role will involve designing, developing, and deploying advanced machine learning models for image and video analysis. You will work on challenging projects, pushing the boundaries of AI in areas such as object detection, image segmentation, facial recognition, and scene understanding. The ideal candidate will have a strong theoretical foundation in machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and computer vision principles. You will be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and optimization. Experience with relevant programming languages like Python and libraries such as TensorFlow, PyTorch, and OpenCV is essential. You will collaborate closely with a team of researchers, software engineers, and data scientists to integrate ML solutions into complex systems. This position offers a unique opportunity to contribute to groundbreaking AI research and development in a fast-paced, intellectually stimulating environment. Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for computer vision tasks.
- Research and apply advanced deep learning architectures and techniques.
- Preprocess and analyze large datasets of images and videos.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Develop robust data pipelines for model training and deployment.
- Collaborate with cross-functional teams to integrate ML solutions into production systems.
- Stay abreast of the latest research and advancements in machine learning and computer vision.
- Write clean, efficient, and well-documented code.
- Contribute to the technical roadmap and strategy for AI development.
- Present findings and results to technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying computer vision models.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Deep understanding of computer vision algorithms and deep learning concepts.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads.
- Familiarity with software development best practices, including version control (Git).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Publications in top-tier AI/ML conferences are a significant plus.
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer - Computer Vision
779 Zallaq, Southern
BHD130000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Machine Learning Engineer specializing in Computer Vision to join our cutting-edge AI team. This role is at the forefront of developing and deploying advanced machine learning models that interpret and process visual information. You will be responsible for the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment into production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning frameworks, and a proven ability to solve complex computer vision problems.
Responsibilities include researching, designing, and implementing state-of-the-art computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and augmented reality. You will work with large datasets, ensuring data quality and integrity for effective model training. Collaborating with software engineers and product managers to integrate ML models into our products and services will be a key aspect of the role. This involves developing robust and scalable ML pipelines, optimizing model performance for efficiency and accuracy, and staying up-to-date with the latest research and advancements in the field of AI and computer vision.
We are looking for individuals with a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field. A minimum of 5 years of professional experience in machine learning engineering, with a significant focus on computer vision, is required. Expertise in Python programming and proficiency with ML libraries/frameworks such as TensorFlow, PyTorch, Keras, and OpenCV is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Strong analytical skills, excellent problem-solving abilities, and the capacity to work effectively in a collaborative, fast-paced environment are crucial. Join us in pushing the boundaries of what's possible with AI and computer vision at our facility in Zallaq, Southern, BH .
Responsibilities include researching, designing, and implementing state-of-the-art computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and augmented reality. You will work with large datasets, ensuring data quality and integrity for effective model training. Collaborating with software engineers and product managers to integrate ML models into our products and services will be a key aspect of the role. This involves developing robust and scalable ML pipelines, optimizing model performance for efficiency and accuracy, and staying up-to-date with the latest research and advancements in the field of AI and computer vision.
We are looking for individuals with a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field. A minimum of 5 years of professional experience in machine learning engineering, with a significant focus on computer vision, is required. Expertise in Python programming and proficiency with ML libraries/frameworks such as TensorFlow, PyTorch, Keras, and OpenCV is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Strong analytical skills, excellent problem-solving abilities, and the capacity to work effectively in a collaborative, fast-paced environment are crucial. Join us in pushing the boundaries of what's possible with AI and computer vision at our facility in Zallaq, Southern, BH .
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer - Computer Vision
22780 Al Seef
BHD130000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a talented and experienced Machine Learning Engineer with a specialization in Computer Vision to join their dynamic engineering team. This role focuses on developing and deploying advanced machine learning models that enable intelligent image and video analysis. You will be instrumental in building scalable ML pipelines, from data preprocessing and model training to deployment and monitoring, for applications ranging from object detection and facial recognition to autonomous systems. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in implementing and optimizing computer vision algorithms.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks.
- Build and maintain robust ML pipelines for data ingestion, model training, and inference.
- Optimize model performance for real-time applications and resource-constrained environments.
- Collaborate closely with software engineers and product teams to integrate ML solutions into production systems.
- Conduct experiments, analyze results, and iterate on models to improve accuracy and efficiency.
- Stay current with the latest research and techniques in machine learning and computer vision.
- Troubleshoot and resolve issues related to model deployment and performance.
- Document technical designs, processes, and results thoroughly.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of professional experience in machine learning engineering, with a focus on computer vision.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of computer vision concepts (e.g., image processing, object detection, segmentation, tracking).
- Experience with ML operations (MLOps) practices and tools.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Ability to work independently and as part of a team in a fast-paced environment.
- Excellent problem-solving and analytical skills.
This advertiser has chosen not to accept applicants from your region.
9