4 Machine Learning Engineer Computer Vision jobs in whatjobs
Machine Learning Engineer - Computer Vision
Posted 20 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 dynamic, fully remote research and development team. This is a critical role focused on designing, building, and deploying advanced computer vision models and systems that solve complex real-world problems. You will work with state-of-the-art algorithms and large-scale datasets to drive advancements in areas such as object detection, image segmentation, facial recognition, and video analysis.
Key responsibilities include developing and optimizing deep learning models for computer vision tasks, implementing and deploying these models into production environments, and continuously monitoring and improving their performance. You will collaborate closely with data scientists, software engineers, and product managers to translate research breakthroughs into practical applications. This involves defining project requirements, designing robust experimental setups, processing and managing large image and video datasets, and evaluating model accuracy and efficiency. You will also contribute to the research community through publications and presentations, staying abreast of the latest advancements in the field.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field, with a strong focus on computer vision. A minimum of 3 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision, is required. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with image processing libraries (e.g., OpenCV) and cloud platforms (AWS, GCP, Azure) is highly desirable. You should have a solid understanding of algorithms, data structures, and software engineering best practices.
We are looking for a creative problem-solver with a passion for cutting-edge technology and a proven ability to work independently and effectively in a remote, collaborative setting. Excellent analytical and communication skills are vital for success in this role. If you are driven by innovation and eager to make a significant impact in the field of computer vision, we invite you to apply for this exciting, fully remote opportunity, supporting projects that may have connections to the **Nakuru, Nakuru, KE** area.
Key responsibilities include developing and optimizing deep learning models for computer vision tasks, implementing and deploying these models into production environments, and continuously monitoring and improving their performance. You will collaborate closely with data scientists, software engineers, and product managers to translate research breakthroughs into practical applications. This involves defining project requirements, designing robust experimental setups, processing and managing large image and video datasets, and evaluating model accuracy and efficiency. You will also contribute to the research community through publications and presentations, staying abreast of the latest advancements in the field.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field, with a strong focus on computer vision. A minimum of 3 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision, is required. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Experience with image processing libraries (e.g., OpenCV) and cloud platforms (AWS, GCP, Azure) is highly desirable. You should have a solid understanding of algorithms, data structures, and software engineering best practices.
We are looking for a creative problem-solver with a passion for cutting-edge technology and a proven ability to work independently and effectively in a remote, collaborative setting. Excellent analytical and communication skills are vital for success in this role. If you are driven by innovation and eager to make a significant impact in the field of computer vision, we invite you to apply for this exciting, fully remote opportunity, supporting projects that may have connections to the **Nakuru, Nakuru, KE** area.
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Machine Learning Engineer - Computer Vision
Posted 18 days ago
Job Viewed
Job Description
Our client, a leader in artificial intelligence solutions, is seeking a talented and innovative Machine Learning Engineer with a specialization in Computer Vision to join their dynamic, fully remote team. This role involves designing, developing, and deploying advanced machine learning models for a variety of computer vision applications, including image recognition, object detection, and video analysis. You will work on challenging projects that push the boundaries of AI technology, from research and development to production deployment. The ideal candidate will have a Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field, with a strong theoretical understanding and practical experience in computer vision and deep learning. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Responsibilities include: developing and implementing cutting-edge computer vision algorithms; training and evaluating machine learning models; optimizing model performance for efficiency and accuracy; collaborating with software engineers to integrate models into production systems; conducting research to identify and explore new CV techniques; preparing technical documentation and presenting findings to stakeholders. This remote position offers the opportunity to work on impactful projects with a highly skilled international team, contributing to the advancement of AI from **Mombasa, Mombasa, KE**, and anywhere in the world.
This advertiser has chosen not to accept applicants from your region.
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Machine Learning Engineer - Computer Vision
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a talented and driven Machine Learning Engineer specializing in Computer Vision to join their innovative AI research team. This is a fully remote position, allowing you to contribute to groundbreaking projects from anywhere. You will be at the forefront of developing and deploying advanced computer vision models for a variety of applications, leveraging state-of-the-art deep learning techniques. The ideal candidate possesses a strong theoretical understanding of computer vision algorithms, practical experience with machine learning frameworks, and a passion for solving complex visual data challenges.
Responsibilities:
Responsibilities:
- Design, implement, train, and evaluate machine learning models for computer vision tasks such as image classification, object detection, segmentation, and facial recognition.
- Develop and optimize deep learning architectures (e.g., CNNs, Transformers) using frameworks like TensorFlow and PyTorch.
- Process and prepare large datasets for model training, including data augmentation and annotation.
- Deploy trained models into production environments, ensuring scalability, performance, and reliability.
- Collaborate with software engineers and researchers to integrate ML models into products and services.
- Conduct research on new computer vision techniques and algorithms, staying abreast of the latest advancements in the field.
- Analyze model performance, identify areas for improvement, and implement solutions.
- Develop and maintain robust ML pipelines and tools for efficient model development and deployment.
- Document research, methodologies, and implementation details.
- Contribute to the team's knowledge base and participate in technical discussions.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field; Bachelor's with significant relevant experience will be considered.
- 3+ years of experience in machine learning engineering, with a specific focus on computer vision.
- Strong theoretical and practical understanding of computer vision algorithms and techniques.
- Proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
- Experience with computer vision libraries such as OpenCV.
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment strategies is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and teamwork skills, adaptable to a remote work environment.
- Experience with large-scale data processing is advantageous.
This advertiser has chosen not to accept applicants from your region.
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Machine Learning Engineer, Computer Vision
Posted 17 days ago
Job Viewed
Job Description
Our client is looking for a talented Machine Learning Engineer specializing in Computer Vision to join their innovative AI and Emerging Technologies team. This role offers a hybrid work model, allowing for a blend of remote flexibility and in-office collaboration. You will be instrumental in designing, developing, and deploying cutting-edge computer vision models and solutions that address complex real-world challenges. This includes working with large datasets, implementing deep learning algorithms, and optimizing models for performance and scalability. The ideal candidate will have a strong theoretical understanding of machine learning principles, particularly in areas like image recognition, object detection, and semantic segmentation, coupled with practical experience in applying these concepts to build robust AI systems. You will collaborate closely with data scientists, software engineers, and domain experts to translate business requirements into effective AI solutions. Responsibilities include researching and evaluating state-of-the-art ML techniques, developing prototypes, conducting rigorous testing and validation, and contributing to the continuous improvement of our client's AI platforms. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) is essential. Experience with cloud platforms like AWS, Azure, or GCP, and containerization technologies like Docker, is highly desirable. This role demands a proactive and curious individual with a passion for pushing the boundaries of AI and a commitment to delivering high-quality, impactful work. You will be a key player in developing intelligent systems that drive innovation and provide unique insights. The opportunity involves working on challenging problems with a highly skilled team, contributing to groundbreaking research and development. We value creativity, collaboration, and a drive for excellence. The hybrid nature of this role allows for adaptable work-life integration while fostering team cohesion and knowledge sharing.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models for computer vision tasks.
- Process and analyze large image and video datasets.
- Implement deep learning algorithms and frameworks (e.g., CNNs, RNNs).
- Optimize ML models for performance, scalability, and deployment.
- Collaborate with cross-functional teams to define AI project requirements.
- Conduct research on state-of-the-art computer vision techniques.
- Develop and maintain ML pipelines and infrastructure.
- Stay abreast of the latest advancements in AI and ML.
- Contribute to the company's intellectual property through innovation.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 2+ years of professional experience in Machine Learning Engineering.
- Strong expertise in computer vision algorithms and techniques.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data processing and augmentation for image data.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
This advertiser has chosen not to accept applicants from your region.
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