8 Principal Machine Learning Engineer Computer Vision jobs in whatjobs
Principal Machine Learning Engineer - Computer Vision
Posted 18 days ago
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Job Description
Our client is seeking a Principal Machine Learning Engineer with a strong focus on Computer Vision to join their pioneering team in Kitale, Trans-Nzoia, KE . This is a critical role for an individual with a proven ability to lead complex projects from conception to deployment. You will be instrumental in designing, developing, and optimizing cutting-edge computer vision systems that power a range of innovative applications. This includes working on object detection, image segmentation, facial recognition, and video analysis using deep learning techniques. You will be responsible for architecting scalable ML pipelines, managing large image and video datasets, and ensuring the performance and reliability of production models. This position demands a deep theoretical understanding coupled with practical, hands-on experience in implementing and deploying ML models in real-world scenarios. You will mentor junior engineers, drive technical strategy, and collaborate with product and research teams to define future directions. Experience with state-of-the-art CV frameworks, cloud infrastructure, and MLOps best practices is essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of advanced computer vision models.
- Develop and optimize ML pipelines for large-scale image and video data.
- Architect robust and scalable ML systems for production environments.
- Collaborate with researchers to implement and validate new algorithms.
- Mentor and guide a team of ML engineers and data scientists.
- Define technical roadmaps and best practices for computer vision within the organization.
- Ensure the performance, efficiency, and ethical considerations of deployed models.
- Stay current with industry trends and breakthroughs in computer vision and ML.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- 10+ years of experience in machine learning, with at least 5 years focused on computer vision.
- Demonstrated success in deploying ML models to production.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Proficiency in Python and C++.
- Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, Azure ML).
- Strong understanding of MLOps principles and tools.
- Excellent leadership and communication skills.
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Principal Machine Learning Engineer, Computer Vision
Posted 20 days ago
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Job Description
Our client is at the forefront of developing innovative computer vision solutions and is seeking a highly experienced Principal Machine Learning Engineer to lead their advanced research and development efforts. This is a fully remote position, offering the opportunity to contribute your cutting-edge expertise from anywhere within Kenya. You will be responsible for designing, developing, and deploying state-of-the-art machine learning models for complex computer vision tasks, including object detection, image segmentation, and facial recognition. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier ML conferences. You will architect scalable ML systems, optimize model performance, and mentor junior engineers. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras is essential, along with extensive experience in Python and C++. Experience with cloud platforms (AWS, GCP, Azure) and distributed training techniques is highly desirable. You will play a key role in defining the technical direction for computer vision projects, pushing the boundaries of what's possible. The ability to translate complex business problems into effective ML solutions is critical. You will lead cross-functional teams, collaborate with product managers, and contribute to the overall AI strategy of the organization. This role requires exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a fast-paced, research-driven environment. The successful applicant will be a thought leader in the computer vision space, driving impactful advancements and shaping the future of our client's AI capabilities, in a remote capacity relevant to Kakamega, Kakamega, KE .
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Principal Machine Learning Engineer - Computer Vision
Posted 20 days ago
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Job Description
Our client is seeking an exceptional Principal Machine Learning Engineer with a specialization in Computer Vision to lead groundbreaking projects. This is a fully remote, permanent opportunity. You will be at the forefront of designing, developing, and deploying state-of-the-art machine learning models and systems. Your expertise will drive innovation in areas such as image recognition, object detection, and video analysis, contributing significantly to the company's technological advancements.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models, particularly in computer vision.
- Architect scalable and robust ML pipelines for training, evaluation, and deployment of models.
- Research and apply cutting-edge ML algorithms and techniques to solve complex problems.
- Collaborate with cross-functional teams, including researchers, software engineers, and product managers, to define project requirements and deliverables.
- Mentor and guide junior ML engineers, fostering technical growth and best practices.
- Optimize model performance, efficiency, and scalability for production environments.
- Stay current with the latest advancements in ML, deep learning, and computer vision research.
- Contribute to the intellectual property portfolio through publications and patent filings.
- Evaluate and integrate new technologies and tools to enhance the ML development process.
- Present technical findings and project progress to stakeholders at various levels.
This advertiser has chosen not to accept applicants from your region.
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Principal Machine Learning Engineer - Computer Vision
Posted 16 days ago
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Job Description
Our client is seeking a visionary Principal Machine Learning Engineer with a specialization in Computer Vision to lead critical projects within our globally distributed, remote-first technology group. This senior role demands an individual with a proven ability to innovate, architect, and deploy large-scale machine learning systems that leverage visual data. You will be instrumental in shaping the future of our AI capabilities, driving research and development efforts that tackle challenging real-world problems. The ideal candidate possesses a deep theoretical understanding of machine learning and computer vision, coupled with extensive practical experience in building and scaling production-ready ML pipelines. You will collaborate with a talented team of engineers, researchers, and product managers, mentoring junior team members and influencing technical strategy. This is an opportunity to make a significant impact on groundbreaking technologies.
Key Responsibilities:
Qualifications:
This opportunity is located within the Machakos area, Machakos, KE.
Key Responsibilities:
- Lead the design, development, and deployment of advanced computer vision models and systems.
- Architect and implement end-to-end machine learning pipelines for image and video analysis, including data preprocessing, model training, evaluation, and deployment.
- Drive innovation in areas such as object detection, image segmentation, facial recognition, and generative models.
- Conduct rigorous experimentation and analysis to optimize model performance, efficiency, and scalability.
- Collaborate with product teams to translate business requirements into technical solutions and define AI roadmaps.
- Mentor and guide junior ML engineers and researchers, fostering technical excellence within the team.
- Stay at the cutting edge of computer vision research and identify opportunities for applying novel techniques.
- Contribute to technical strategy and decision-making processes for the broader AI organization.
- Ensure the robustness, scalability, and maintainability of deployed ML systems.
- Champion best practices in MLOps, including version control, continuous integration/continuous deployment (CI/CD), and monitoring.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a strong focus on Computer Vision.
- 8+ years of progressive experience in machine learning, with a minimum of 5 years focused on computer vision applications.
- Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Proficiency in Python and experience with libraries like OpenCV, scikit-image, NumPy, and SciPy.
- Strong understanding of image processing techniques, classical computer vision algorithms, and deep learning architectures (CNNs, Transformers for Vision).
- Demonstrated experience in deploying machine learning models to production environments, preferably in a cloud-based setting (AWS, GCP, Azure).
- Experience with MLOps tools and practices is highly desirable.
- Exceptional problem-solving, analytical, and critical thinking skills.
- Excellent leadership, communication, and interpersonal skills, with the ability to mentor and influence.
- Proven track record of delivering impactful AI/ML projects.
This opportunity is located within the Machakos area, Machakos, KE.
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Principal Machine Learning Engineer (Computer Vision)
Posted 10 days ago
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Job Description
Our client, a leader in applied AI and emerging technologies, is seeking a Principal Machine Learning Engineer specializing in Computer Vision to join their distinguished, fully remote R&D team. This is a senior role focused on designing, developing, and deploying sophisticated computer vision models and systems that solve real-world challenges. You will lead advanced research initiatives, mentor engineers, and contribute significantly to the company's innovative AI solutions. This remote-first position demands exceptional technical expertise and the ability to collaborate effectively across global teams.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art computer vision algorithms and models.
- Architect and build scalable machine learning pipelines for data processing, model training, and deployment.
- Conduct in-depth research into novel computer vision techniques, including object detection, image segmentation, facial recognition, and deep learning architectures.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Optimize model performance for accuracy, efficiency, and deployment on various platforms (cloud, edge devices).
- Stay current with the latest advancements in machine learning, deep learning, and computer vision research.
- Mentor and guide junior ML engineers, fostering a culture of technical excellence.
- Author technical documentation, research papers, and present findings to technical and non-technical audiences.
- Evaluate and select appropriate tools, frameworks, and technologies for ML development.
- Contribute to the strategic direction of the company's AI initiatives.
- Ensure the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of professional experience in machine learning engineering, with a strong focus on computer vision.
- Proven track record of designing, training, and deploying complex computer vision models (e.g., CNNs, Transformers) in production environments.
- Expertise in relevant programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, Keras.
- Strong understanding of image processing techniques, feature extraction, and dimensionality reduction.
- Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Demonstrated experience working effectively in a remote, distributed team setting.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is highly desirable.
- Publication record in top-tier AI/CV conferences (e.g., CVPR, ICCV, ECCV) is a plus.
This advertiser has chosen not to accept applicants from your region.
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Principal Machine Learning Engineer - Computer Vision
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a visionary Principal Machine Learning Engineer with deep expertise in Computer Vision to join their elite, fully remote research and development team. This is a leadership role focused on designing, implementing, and deploying state-of-the-art computer vision models for complex real-world applications. You will be at the forefront of innovation, tackling challenging problems in image recognition, object detection, segmentation, and video analysis. The ideal candidate has a Ph.D. or Master's degree, a strong publication record, and extensive hands-on experience with cutting-edge deep learning techniques and frameworks. You will mentor junior engineers, collaborate with cross-functional teams, and contribute significantly to our client's strategic AI roadmap. This role requires exceptional problem-solving skills, a passion for research, and the ability to drive projects from conception to production in a distributed environment.
Responsibilities:
Responsibilities:
- Lead the research and development of advanced computer vision algorithms and models using deep learning techniques.
- Design, implement, and optimize neural network architectures for tasks such as image classification, object detection, semantic segmentation, and pose estimation.
- Develop and maintain robust machine learning pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with product managers and software engineers to translate research breakthroughs into impactful product features.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and innovation.
- Stay current with the latest advancements in computer vision, deep learning, and AI research, identifying new opportunities for application.
- Publish high-quality research findings in top-tier conferences and journals.
- Develop and manage large-scale datasets for training and evaluating computer vision models.
- Ensure the scalability, efficiency, and robustness of deployed computer vision systems.
- Contribute to the strategic direction of our client's AI and computer vision initiatives.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of experience in machine learning and computer vision research and development.
- Proven track record of innovation, demonstrated through publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or patents.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (OpenCV, NumPy, SciPy, Scikit-image).
- Strong understanding of classical computer vision techniques and mathematical foundations.
- Experience with distributed training, GPU computing, and cloud platforms (AWS, GCP, Azure).
- Excellent problem-solving skills, algorithmic thinking, and ability to handle complex technical challenges.
- Strong leadership, communication, and collaboration skills, essential for a remote-first team.
- Experience with embedded systems or real-time computer vision applications is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Principal Machine Learning Engineer, Computer Vision
Posted 5 days ago
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Job Description
Our client is seeking an exceptional Principal Machine Learning Engineer with deep expertise in Computer Vision to lead transformative AI projects. This is a fully remote position, offering the flexibility to work from anywhere globally. You will be at the forefront of designing, developing, and deploying state-of-the-art computer vision models and algorithms that drive innovation in areas such as image recognition, object detection, segmentation, and video analysis. This role demands a strong theoretical understanding of machine learning principles, coupled with practical experience in building and scaling ML systems. Your responsibilities will include defining ML roadmaps, conducting cutting-edge research, implementing complex deep learning architectures, and optimizing models for performance and efficiency. You will collaborate with a world-class team of researchers, engineers, and product managers to bring groundbreaking AI products to life. The ideal candidate will have a proven history of delivering high-impact computer vision solutions in production environments. Proficiency in Python and extensive experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. Experience with cloud ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) and MLOps best practices is highly desirable. You should possess excellent analytical, problem-solving, and leadership skills, with the ability to mentor junior engineers and guide technical strategy. A PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field, along with 8+ years of relevant industry experience, is required. This remote role is perfect for a self-starter who thrives on complex challenges and enjoys working in a collaborative, intellectually stimulating environment. If you are passionate about advancing the field of computer vision and eager to lead significant AI initiatives remotely, we invite you to apply and make a substantial impact.
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Principal Machine Learning Engineer - Computer Vision
Posted 3 days ago
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Job Description
Our client is looking for a Principal Machine Learning Engineer with a specialization in Computer Vision to join our dynamic research and development team. This role is critical for pushing the boundaries of our visual intelligence capabilities. You will lead the design, development, and deployment of advanced machine learning models for image and video analysis, object detection, recognition, and scene understanding. Working closely with a team of talented researchers and engineers, you will tackle complex problems, contribute to innovative product features, and mentor junior engineers. The ideal candidate will possess a deep theoretical understanding of deep learning architectures (CNNs, Transformers, GANs), extensive practical experience in implementing and optimizing these models, and a strong track record in deploying ML solutions to production environments. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Keras is essential. You will be expected to stay at the forefront of computer vision research, evaluate new techniques, and apply them to solve real-world challenges. This position requires excellent analytical, problem-solving, and communication skills, as well as the ability to work effectively in a collaborative, fast-paced environment. A Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field, combined with significant industry experience, is highly desirable.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the research, design, and development of state-of-the-art computer vision models.
- Implement and optimize deep learning algorithms for image and video processing tasks.
- Develop and deploy production-ready machine learning pipelines.
- Conduct experiments, analyze results, and iterate on model performance.
- Collaborate with cross-functional teams to define project requirements and deliver solutions.
- Mentor junior machine learning engineers and researchers.
- Stay current with the latest advancements in computer vision and ML research.
- Evaluate and integrate new tools, technologies, and methodologies.
- Present findings and research to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with a strong focus on computer vision.
- Deep understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras, OpenCV).
- Experience with model optimization, deployment, and MLOps.
- Strong background in linear algebra, calculus, and probability.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Demonstrated ability to lead technical projects and mentor teams.
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