4 Lead Machine Learning Engineer Computer Vision jobs in whatjobs
Lead Machine Learning Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Our client is looking for a visionary Lead Machine Learning Engineer with a specialization in Computer Vision to spearhead their AI initiatives. This role is entirely remote, empowering you to work from your preferred location while contributing to groundbreaking projects. You will be instrumental in designing, developing, and deploying advanced computer vision models and systems that will drive innovation across our product lines. This is a unique chance to lead a talented team and influence the direction of AI development in a dynamic and forward-thinking company.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art computer vision models and algorithms for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Oversee the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Architect scalable and robust ML systems suitable for production environments.
- Collaborate closely with product management, software engineering, and data science teams to define project requirements and deliver impactful solutions.
- Mentor and guide junior machine learning engineers and researchers, fostering technical excellence and professional growth.
- Stay current with the latest research and technological advancements in computer vision and machine learning, identifying opportunities for application.
- Optimize model performance for speed, accuracy, and resource efficiency on various hardware platforms.
- Develop and maintain comprehensive documentation for ML models, pipelines, and system architecture.
- Present research findings and project progress to stakeholders, including technical and non-technical audiences.
- Ensure ethical considerations and bias mitigation are integrated into the development process.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a significant focus on computer vision.
- Demonstrated experience in leading ML projects and mentoring engineering teams.
- Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image, Pillow).
- In-depth understanding of various computer vision techniques and algorithms.
- Proven ability to design, train, and deploy complex deep learning models for vision tasks.
- Experience with cloud computing platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Excellent problem-solving, analytical, and debugging skills.
- Exceptional communication and collaboration skills, especially in a remote setting.
- Experience with MLOps principles and tools is a strong advantage.
- Familiarity with embedded systems and edge AI deployments is a plus.
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer - Computer Vision
Posted 19 days ago
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Job Description
Our client is seeking a Lead Machine Learning Engineer with a specialization in Computer Vision to spearhead the development of advanced AI solutions. This is a fully remote position, offering a unique opportunity to shape the future of our client's technology. You will lead a team of talented engineers and researchers in designing, building, and deploying robust machine learning models for various computer vision tasks, including object detection, image segmentation, facial recognition, and generative adversarial networks (GANs). Your expertise will be crucial in translating complex business requirements into scalable and efficient AI systems. The ideal candidate will have a deep understanding of deep learning architectures, particularly convolutional neural networks (CNNs) and transformer-based models for vision. You will be responsible for setting technical direction, mentoring team members, and ensuring the highest quality standards in model development and deployment. This role demands strong leadership skills, excellent problem-solving abilities, and a passion for innovation. The ability to work effectively in a distributed team environment, utilizing asynchronous communication and collaboration tools, is essential. You will play a pivotal role in identifying new research avenues, evaluating emerging technologies, and contributing to our client's competitive edge in the AI space. This is an opportunity to make a significant impact on a global scale, working on challenging problems with a talented and dedicated remote workforce. Your contributions will directly influence the strategic direction of AI initiatives. We are looking for a visionary leader who can inspire and guide a team towards achieving ambitious goals. The ideal candidate possesses a strong theoretical foundation combined with practical experience in deploying ML models in real-world scenarios. Fostering a culture of innovation and continuous improvement will be a key aspect of this role. If you are passionate about computer vision and leading high-performing remote teams, we encourage you to apply.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of computer vision models.
- Mentor and guide a team of machine learning engineers and researchers.
- Define technical strategies and roadmaps for computer vision projects.
- Oversee the end-to-end ML lifecycle, from data preprocessing to model deployment and monitoring.
- Collaborate with product managers and stakeholders to define project requirements.
- Evaluate and integrate new AI technologies and research advancements.
- Ensure the scalability, reliability, and performance of deployed models.
- Conduct code reviews and provide constructive feedback.
- Promote best practices in machine learning development and MLOps.
- Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or a related field.
- 7+ years of experience in machine learning, with a strong focus on computer vision.
- Proven experience in leading ML teams and projects.
- Expertise in Python, TensorFlow, PyTorch, and relevant CV libraries (e.g., OpenCV, scikit-image).
- Deep understanding of CNNs, GANs, object detection, segmentation, etc.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.
- Excellent leadership, communication, and problem-solving skills.
- Demonstrated ability to thrive in a fully remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer (Computer Vision)
Posted 17 days ago
Job Viewed
Job Description
Our client is at the cutting edge of AI and Emerging Technologies, seeking a Lead Machine Learning Engineer specializing in Computer Vision. This is a fully remote, highly impactful position where you will drive the development of advanced vision-based AI solutions. You will lead a team of talented engineers in designing, implementing, and deploying sophisticated machine learning models for image and video analysis, object detection, and recognition. Responsibilities include architecting scalable ML systems, conducting rigorous model training and evaluation, optimizing model performance for production environments, and staying abreast of the latest research in computer vision and deep learning. You will also mentor junior engineers, contribute to technical strategy, and collaborate with product teams to define project requirements. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong specialization in Computer Vision and Machine Learning. A minimum of 7 years of professional experience in ML engineering, with at least 3 years focused on computer vision applications, is required. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), model optimization techniques, and MLOps best practices is essential. Strong programming skills in Python and experience with cloud platforms (AWS, GCP, Azure) are necessary. Excellent leadership, problem-solving, and communication skills are vital for guiding the team and interfacing with stakeholders. This role offers an exceptional opportunity to innovate and lead impactful projects in a remote setting, contributing to groundbreaking AI advancements from anywhere, including but not limited to Ongata Rongai, Kajiado, KE . If you are a visionary ML leader passionate about computer vision, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
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Lead Machine Learning Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an experienced Lead Machine Learning Engineer with a specialization in Computer Vision to join their fully remote, forward-thinking AI team. This is an exciting opportunity to take on a leadership role in designing, developing, and deploying advanced computer vision solutions that drive innovation across various applications. You will be instrumental in shaping the technical direction of our computer vision projects, mentoring a team of talented engineers, and pushing the boundaries of image and video analysis. As a remote-first organization, we foster a collaborative and dynamic environment where your contributions are highly valued.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Architect robust and scalable ML pipelines for data processing, model training, evaluation, and deployment in production environments.
- Mentor and guide a team of machine learning engineers, fostering technical excellence and collaborative problem-solving.
- Collaborate closely with cross-functional teams, including AI researchers, software engineers, and product managers, to translate business requirements into technical solutions.
- Stay at the forefront of computer vision research and industry advancements, identifying opportunities to integrate novel techniques and technologies.
- Optimize model performance for efficiency, accuracy, and scalability across various hardware platforms.
- Develop and maintain high-quality, well-documented code adhering to best practices in software engineering and MLOps.
- Contribute to the strategic roadmap for AI and computer vision initiatives within the organization.
- Present technical findings, project updates, and strategic recommendations to stakeholders.
- Ensure the ethical development and deployment of AI systems, adhering to fairness and bias mitigation principles.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field with a strong focus on Computer Vision.
- Extensive experience in developing and deploying machine learning models for computer vision applications.
- Deep understanding of core computer vision algorithms, deep learning architectures (CNNs, Transformers), and relevant frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Proven experience in leading technical teams and managing complex ML projects.
- Proficiency in Python and experience with MLOps practices and tools.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration skills, essential for effective remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads is highly desirable.
- Demonstrated ability to work independently and drive projects to completion in a remote setting.
- Track record of publications or contributions to open-source computer vision projects is a plus.
This advertiser has chosen not to accept applicants from your region.
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