12 Senior Machine Learning Engineer Computer Vision jobs in whatjobs
Senior Machine Learning Engineer - Computer Vision
Posted 20 days ago
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Job Description
Our client, a cutting-edge AI research and development firm, is seeking a highly skilled Senior Machine Learning Engineer with a specialization in Computer Vision to join their world-class, fully remote engineering team. This pivotal role involves designing, developing, and deploying advanced machine learning models and algorithms to solve complex problems in visual data analysis. You will be instrumental in pushing the boundaries of AI, working on challenging projects that require deep expertise in areas such as image recognition, object detection, segmentation, and video analysis. Your responsibilities will include researching state-of-the-art CV techniques, architecting scalable ML pipelines, implementing and fine-tuning deep learning models using frameworks like TensorFlow or PyTorch, and optimizing model performance for deployment in real-world applications. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into innovative AI solutions. Strong proficiency in Python and related ML libraries is essential, as is experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices. The ideal candidate will possess a strong theoretical foundation in machine learning and computer vision, coupled with practical experience in bringing ML models from prototype to production. Exceptional problem-solving skills, a passion for innovation, and the ability to thrive in a fast-paced, collaborative, and fully remote environment are critical. You will contribute significantly to the advancement of our client's AI capabilities and shape the future of computer vision applications.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision tasks.
- Research and apply state-of-the-art computer vision algorithms (e.g., CNNs, GANs).
- Build and optimize scalable ML pipelines for data preprocessing, training, and inference.
- Fine-tune and deploy deep learning models using frameworks like TensorFlow or PyTorch.
- Perform rigorous model evaluation and performance optimization.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Stay abreast of the latest research and advancements in machine learning and computer vision.
- Contribute to MLOps practices for robust model deployment and monitoring.
- Write clean, efficient, and well-documented code.
- Present technical findings and solutions to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- Minimum of 5 years of hands-on experience in machine learning engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV).
- Experience with deep learning architectures for image and video analysis.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Familiarity with MLOps tools and best practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, suitable for a remote team.
- Proven ability to work independently and drive projects to completion.
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Senior Machine Learning Engineer (Computer Vision)
Posted 18 days ago
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Job Description
Our client is at the cutting edge of AI and emerging technologies, and they are looking for a talented Senior Machine Learning Engineer specializing in Computer Vision. This is a fully remote role, offering you the chance to work on challenging and impactful projects without geographical constraints. The ideal candidate will have a strong theoretical understanding and practical experience in developing and deploying computer vision models. You will contribute to innovative solutions that push the boundaries of what's possible with AI, potentially impacting sectors that serve communities such as **Meru, Meru, KE**. Your responsibilities will include designing, building, and optimizing computer vision algorithms, working with large datasets, and collaborating with a world-class remote engineering team.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision models for tasks such as object detection, image segmentation, recognition, and tracking.
- Work with large-scale image and video datasets for training and evaluating models.
- Utilize deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Preprocess and augment image data to improve model performance.
- Optimize models for deployment on various platforms, including edge devices and cloud environments.
- Collaborate with software engineers to integrate ML models into production systems.
- Conduct research and stay updated with the latest advancements in computer vision and deep learning.
- Perform rigorous testing and validation of ML models.
- Contribute to the design and architecture of our machine learning infrastructure.
- Mentor junior machine learning engineers and contribute to team knowledge sharing.
- Document code, methodologies, and experimental results thoroughly.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
- 5+ years of experience in machine learning, with a strong focus on computer vision.
- Proficiency in Python and relevant ML libraries (e.g., OpenCV, scikit-image).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of computer vision algorithms and techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong programming skills and experience with software development best practices.
- Excellent analytical and problem-solving abilities.
- Effective communication skills for collaborating with a remote team.
- Experience with data annotation and management is a plus.
- Ability to work independently and drive projects forward in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - Computer Vision
Posted 18 days ago
Job Viewed
Job Description
Our client is a pioneering technology firm seeking a talented and experienced Senior Machine Learning Engineer specializing in Computer Vision to join their fully remote development team. This role is pivotal in designing, developing, and deploying advanced computer vision models and algorithms to solve complex real-world problems. You will be instrumental in building intelligent systems that can interpret and understand visual data, contributing to cutting-edge projects in areas such as image recognition, object detection, video analysis, and augmented reality. Your responsibilities will include researching state-of-the-art CV techniques, implementing robust ML pipelines, training and evaluating models, and optimizing them for performance and scalability.
The ideal candidate possesses a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong background in machine learning and deep learning, particularly within computer vision. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. As this is a remote-first position, you must demonstrate excellent self-management skills, strong analytical and problem-solving capabilities, and the ability to collaborate effectively within a distributed team. You will work on challenging projects, contributing to innovation and driving the development of intelligent visual systems. A passion for pushing the boundaries of computer vision and a commitment to delivering high-quality, production-ready code are key requirements.
Key Responsibilities:
The ideal candidate possesses a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong background in machine learning and deep learning, particularly within computer vision. Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. As this is a remote-first position, you must demonstrate excellent self-management skills, strong analytical and problem-solving capabilities, and the ability to collaborate effectively within a distributed team. You will work on challenging projects, contributing to innovation and driving the development of intelligent visual systems. A passion for pushing the boundaries of computer vision and a commitment to delivering high-quality, production-ready code are key requirements.
Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms.
- Build and train deep learning models for image recognition, object detection, segmentation, etc.
- Develop robust ML pipelines for data preprocessing, model training, and evaluation.
- Optimize model performance for speed, accuracy, and resource efficiency.
- Collaborate with cross-functional teams to integrate computer vision solutions into products.
- Stay current with the latest research and advancements in computer vision and ML.
- Write clean, maintainable, and well-documented code.
- Contribute to the technical roadmap and strategy for AI/ML initiatives.
- Debug and troubleshoot complex issues in ML models and systems.
- Participate in code reviews and provide constructive feedback.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering, with a specialization in Computer Vision.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-image, NumPy).
- Strong understanding of core computer vision concepts and algorithms.
- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Strong communication and collaboration skills for virtual teamwork.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - Computer Vision
Posted 12 days ago
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Job Description
Our client is an innovative technology firm at the forefront of developing advanced AI solutions. We are seeking a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join our fully remote engineering team. This role is crucial for designing, implementing, and deploying cutting-edge computer vision models and algorithms for a variety of applications, including image recognition, object detection, and video analysis. You will collaborate closely with research scientists and software developers to integrate ML models into production systems, optimize performance, and ensure scalability. Responsibilities include data preprocessing, model training and evaluation, and staying abreast of the latest advancements in computer vision research. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Machine Learning, or a related field, with a strong publication record or significant contributions to open-source projects. Expertise in deep learning frameworks (TensorFlow, PyTorch), programming languages (Python), and cloud platforms (AWS, GCP, Azure) is essential. Proven experience in deploying computer vision models in real-world scenarios is highly desirable. This position requires exceptional problem-solving skills, a passion for innovation, and the ability to work independently and effectively within a distributed team. Excellent communication skills are necessary to articulate complex technical concepts to both technical and non-technical audiences. This is a prime opportunity to work on challenging and impactful computer vision projects from the convenience of your remote workspace. The role is nominally based in **Ruiru, Kiambu, KE**, but is fully remote, offering maximum flexibility.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - Computer Vision
Posted 12 days ago
Job Viewed
Job Description
Our client, a cutting-edge firm specializing in AI & Emerging Technologies, is seeking a highly skilled Senior Machine Learning Engineer with expertise in Computer Vision to join their fully remote, innovative team. This role is central to developing and deploying advanced AI models that interpret and analyze visual data, driving breakthroughs in areas such as autonomous systems, medical imaging, and augmented reality. You will be instrumental in the entire ML lifecycle, from data preprocessing and model training to deployment and optimization. The ideal candidate possesses a deep theoretical understanding of machine learning algorithms, extensive practical experience with deep learning frameworks, and a strong portfolio of computer vision projects.
Responsibilities:
A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required. A minimum of 6 years of professional experience in machine learning, with a strong specialization in computer vision. Proven track record of successfully developing and deploying production-ready computer vision models. Expertise in deep learning frameworks (TensorFlow, PyTorch) and relevant libraries (OpenCV, scikit-image). Strong programming skills in Python and experience with associated data science libraries (NumPy, Pandas). Solid understanding of statistical methods and data analysis techniques. Excellent problem-solving, analytical, and communication skills are critical for this remote role. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will be a key innovator in the rapidly evolving field of artificial intelligence, contributing to groundbreaking advancements from Eldoret, Uasin Gishu, KE .
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for computer vision tasks, including image classification, object detection, segmentation, and facial recognition.
- Lead the collection, preprocessing, and annotation of large-scale visual datasets.
- Train, evaluate, and fine-tune deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Deploy ML models into production environments, ensuring scalability, reliability, and efficiency.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate ML solutions into products and services.
- Conduct research into new ML techniques and technologies, staying at the forefront of the field.
- Optimize model performance for real-time applications and resource-constrained environments.
- Develop and maintain robust ML pipelines and infrastructure.
- Troubleshoot and debug complex ML systems.
- Mentor junior ML engineers and contribute to knowledge sharing within the team.
- Write clear, concise, and well-documented code.
- Present findings and technical details to both technical and non-technical audiences.
A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required. A minimum of 6 years of professional experience in machine learning, with a strong specialization in computer vision. Proven track record of successfully developing and deploying production-ready computer vision models. Expertise in deep learning frameworks (TensorFlow, PyTorch) and relevant libraries (OpenCV, scikit-image). Strong programming skills in Python and experience with associated data science libraries (NumPy, Pandas). Solid understanding of statistical methods and data analysis techniques. Excellent problem-solving, analytical, and communication skills are critical for this remote role. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will be a key innovator in the rapidly evolving field of artificial intelligence, contributing to groundbreaking advancements from Eldoret, Uasin Gishu, KE .
This advertiser has chosen not to accept applicants from your region.
4
Senior Machine Learning Engineer (Computer Vision)
Posted 20 days ago
Job Viewed
Job Description
Our client, a pioneering technology firm focused on cutting-edge AI solutions, is looking for a Senior Machine Learning Engineer specializing in Computer Vision to join their dynamic, fully remote team. This role is central to developing advanced visual intelligence systems that power transformative products. You will be responsible for designing, implementing, and deploying sophisticated computer vision models and algorithms for tasks such as object detection, image segmentation, facial recognition, and scene understanding. Your expertise will be applied to real-world challenges, requiring you to work with large-scale image and video datasets, preprocess data effectively, and train deep learning models using state-of-the-art frameworks like TensorFlow, PyTorch, and Keras. You will collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into client solutions and internal platforms. This position demands a strong grasp of machine learning principles, particularly deep learning architectures (CNNs, RNNs, Transformers) and their applications in computer vision. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices for model deployment and monitoring is highly desirable. You will contribute to research and development efforts, exploring novel approaches to improve model accuracy, efficiency, and robustness. The ideal candidate will possess excellent programming skills (Python is essential) and a proven ability to translate complex technical concepts into practical solutions. Strong analytical and problem-solving abilities, coupled with exceptional communication skills for collaborating effectively in a distributed team environment, are required. This is an unparalleled opportunity to work on challenging computer vision problems with a leading AI company, enjoying the full flexibility of a remote work arrangement. Although the company has offices in **Malindi, Kilifi, KE**, this position is fully remote.
This advertiser has chosen not to accept applicants from your region.
5
Senior Machine Learning Engineer - Computer Vision
Posted 16 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join their cutting-edge, fully remote R&D team. This pivotal role involves designing, developing, and deploying advanced machine learning models and systems for image and video analysis. The ideal candidate will have a deep understanding of deep learning architectures, computer vision algorithms, and the entire ML lifecycle, from data preprocessing to model deployment and monitoring. Responsibilities include researching and implementing state-of-the-art CV techniques, developing robust pipelines for training and evaluating models, and optimizing algorithms for performance and scalability. You will collaborate closely with product managers, data scientists, and software engineers to translate business requirements into technical solutions. This is a remote-first position, requiring excellent communication, collaboration skills, and the ability to work autonomously in a distributed team environment. You will be instrumental in pushing the boundaries of what's possible with AI and computer vision, contributing to groundbreaking projects. A strong grasp of Python, relevant ML frameworks (e.g., TensorFlow, PyTorch), and experience with cloud platforms (AWS, GCP, Azure) are essential. The successful candidate will demonstrate a passion for innovation, a meticulous approach to problem-solving, and a proven ability to deliver high-quality, production-ready ML solutions. You will play a key role in shaping the future of our AI capabilities. Join a dynamic and intellectually stimulating environment where your contributions will have a direct impact. This role is crucial for our operations related to the **Kericho, Kericho, KE** area, offering the full flexibility of remote work across Kenya.
Key Responsibilities:
Key Responsibilities:
- Design, train, and deploy computer vision models using deep learning techniques.
- Develop and maintain ML pipelines for data preprocessing, feature engineering, and model evaluation.
- Optimize algorithms for performance, scalability, and efficiency.
- Collaborate with cross-functional teams to define project requirements and deliver solutions.
- Stay current with the latest research and advancements in computer vision and machine learning.
- Contribute to the architecture and design of ML systems.
- Mentor junior engineers and share technical expertise.
- Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering, with a strong focus on computer vision.
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and libraries (OpenCV, scikit-learn).
- Proficiency in Python and experience with ML/DL development workflows.
- Strong understanding of image processing, pattern recognition, and classical CV algorithms.
- Experience with cloud ML platforms and MLOps practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Machine Learning Engineer - Computer Vision
Posted 16 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Machine Learning Engineer specializing in Computer Vision to join their innovative AI team. This is a fully remote role, allowing you to contribute to cutting-edge projects from your preferred location. You will be instrumental in designing, developing, and deploying advanced machine learning models for image and video analysis. Your expertise will be critical in tackling complex computer vision challenges, such as object detection, image segmentation, facial recognition, and generative imaging. Key responsibilities include conducting research into state-of-the-art computer vision techniques, building and training deep learning models, and optimizing them for performance and scalability. You will collaborate closely with software engineers to integrate ML models into production systems and work with data scientists to curate and prepare high-quality datasets. A strong foundation in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and computer vision libraries (OpenCV) is essential. The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with a proven track record of delivering impactful computer vision solutions. Experience with large-scale datasets, distributed training, and cloud computing platforms (AWS, GCP, Azure) is highly desirable. Excellent programming skills in Python, along with strong analytical and problem-solving abilities, are a must. You should be comfortable working independently in a fast-paced, remote environment, demonstrating strong collaboration and communication skills to effectively engage with a globally distributed team. This role offers an exciting opportunity to work on challenging and innovative projects that are at the forefront of artificial intelligence and computer vision technology. Join a company that values technical excellence and empowers its employees to make significant contributions.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models for computer vision tasks.
- Implement and optimize deep learning architectures for image and video analysis.
- Conduct research on cutting-edge computer vision algorithms and techniques.
- Collaborate with engineering teams to integrate ML models into production systems.
- Curate, preprocess, and manage large-scale image and video datasets.
- Evaluate model performance and identify areas for improvement.
- Stay updated with the latest advancements in ML and computer vision.
- Mentor junior ML engineers and contribute to knowledge sharing.
- Master's or PhD in Computer Science, AI, or a related field.
- 5+ years of experience in machine learning engineering, with a focus on computer vision.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras).
- Strong understanding of deep learning concepts and algorithms.
- Experience with computer vision libraries (OpenCV, scikit-image).
- Familiarity with cloud platforms and distributed training.
- Proven experience in deploying ML models into production.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
7
Senior Machine Learning Engineer - Computer Vision
Posted 15 days ago
Job Viewed
Job Description
Our client is actively seeking a talented and experienced Senior Machine Learning Engineer specializing in Computer Vision to join their cutting-edge, fully remote AI development team. This role is crucial for advancing our client's capabilities in image and video analysis, object detection, image segmentation, and generative AI for visual content. You will be at the forefront of designing, developing, and deploying state-of-the-art machine learning models that power innovative visual intelligence solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a proven track record of delivering impactful computer vision projects. You should be proficient in deep learning frameworks such as TensorFlow, PyTorch, and Keras, and have extensive experience with computer vision libraries like OpenCV and scikit-image. Responsibilities include researching, implementing, and optimizing novel deep learning architectures for various computer vision tasks. You will work with large-scale datasets, manage the end-to-end ML lifecycle from data preprocessing and feature engineering to model training, evaluation, and deployment. Collaboration with software engineers, product managers, and other researchers across different time zones is a key component of this role, requiring excellent communication and teamwork skills in a distributed setting. You will also contribute to system design, performance optimization, and MLOps practices to ensure scalable and robust deployment of ML models. Mentoring junior engineers and contributing to the team's technical growth are important expectations. This is a remote-first position, demanding strong self-management, problem-solving abilities, and a proactive approach to innovation. You should be passionate about staying current with the rapidly evolving field of computer vision and eager to apply new research findings to real-world problems.
Responsibilities:
Responsibilities:
- Design, develop, and deploy advanced machine learning models for computer vision tasks.
- Implement and optimize deep learning architectures (CNNs, GANs, Transformers) for image and video analysis.
- Work with large datasets, perform data augmentation, and manage the ML pipeline.
- Collaborate with cross-functional teams in a remote environment to integrate ML solutions.
- Conduct research on new computer vision algorithms and techniques.
- Ensure the scalability, reliability, and performance of deployed ML models.
- Mentor junior ML engineers and contribute to team knowledge sharing.
- Stay updated with the latest advancements in AI, machine learning, and computer vision.
- Develop and implement MLOps practices for efficient model deployment and monitoring.
- Contribute to technical documentation and research publications.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- 5+ years of hands-on experience in machine learning engineering with a specialization in computer vision.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Extensive experience with computer vision libraries (OpenCV, scikit-image).
- Solid understanding of image processing, object detection, segmentation, and related algorithms.
- Experience with cloud platforms (AWS, GCP, Azure) and ML deployment tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and collaboration skills for remote teamwork.
- Ability to manage complex projects and work independently.
- Experience with generative models and transformers is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Senior Machine Learning Engineer (Computer Vision)
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Machine Learning Engineer with expertise in Computer Vision to join their cutting-edge AI development team. This is a fully remote position where you will be instrumental in designing, developing, and deploying advanced computer vision models and systems. The ideal candidate possesses a strong foundation in machine learning, deep learning, and a proven track record of building and optimizing vision-based AI solutions. You will work with large-scale image and video datasets, contributing to innovative applications in areas such as object detection, image segmentation, facial recognition, and video analysis. This role offers the opportunity to work on challenging problems and influence the direction of AI product development.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, implement, and train deep learning models for computer vision tasks (e.g., CNNs, object detection, segmentation).
- Develop and optimize algorithms for image and video processing and analysis.
- Work with large-scale datasets, including data augmentation, labeling, and preprocessing.
- Implement efficient model deployment strategies for various platforms (cloud, edge).
- Collaborate with research scientists and software engineers to integrate ML models into products.
- Evaluate model performance, identify areas for improvement, and conduct A/B testing.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Develop and maintain robust ML pipelines and MLOps infrastructure.
- Contribute to the architecture and design of ML systems.
- Mentor junior engineers and share technical expertise.
- Write clear, concise, and well-documented code.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning or Computer Vision.
- Minimum of 6-8 years of experience in machine learning engineering, with a specialization in computer vision.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of computer vision fundamentals, including image processing, feature extraction, and deep learning architectures for vision (e.g., ResNet, YOLO, Mask R-CNN).
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD for ML).
- Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills, effective in a remote team environment.
- Ability to work independently and manage complex projects.
- Experience with large-scale data handling and distributed training is a plus.
- This role is fully remote, requiring self-motivation and strong digital communication.
This advertiser has chosen not to accept applicants from your region.
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