18 Senior AI Ml Engineer Computer Vision jobs in whatjobs
Senior AI/ML Engineer (Computer Vision)
Posted 20 days ago
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Senior AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Developing, training, and evaluating deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and image generation.
- Implementing and optimizing ML pipelines for data preprocessing, model training, and deployment.
- Selecting and applying appropriate algorithms and frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Collaborating with data scientists and software engineers to integrate ML models into production systems.
- Conducting research on state-of-the-art computer vision techniques and their potential applications.
- Analyzing and interpreting model performance, identifying areas for improvement, and implementing optimizations.
- Ensuring the scalability, efficiency, and robustness of ML solutions.
- Writing high-quality, well-documented code in languages like Python.
- Staying current with the latest advancements in AI, machine learning, and computer vision research.
- Contributing to the technical roadmap and strategic direction of AI/ML initiatives.
- Working closely with product managers to understand requirements and deliver impactful features.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a specialization in computer vision. A minimum of 5 years of professional experience in developing and deploying machine learning models, with a strong focus on computer vision, is required. Proven expertise with deep learning frameworks like TensorFlow or PyTorch is essential. Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-learn) are mandatory. Solid understanding of ML fundamentals, data structures, and algorithms is crucial. Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus. Excellent problem-solving, analytical, and communication skills are highly valued. This remote role offers the chance to innovate in AI from anywhere, with contributions impacting technological advancements in regions like Malindi, Kilifi, KE .
Senior AI/ML Engineer (Computer Vision)
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
Senior AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and models.
- Build and train deep learning models for tasks such as image classification, object detection, segmentation, and tracking.
- Develop solutions for real-time video analysis and image processing pipelines.
- Optimize model performance and ensure scalability for production environments.
- Collaborate with cross-functional teams to integrate computer vision solutions into product offerings.
- Conduct research on the latest advancements in computer vision and machine learning.
- Write clean, efficient, and well-documented code in Python and other relevant languages.
- Deploy and maintain ML models on cloud platforms or edge devices.
- Evaluate and select appropriate datasets and tools for model development and training.
- Mentor junior engineers and contribute to the team's technical growth.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of experience in AI/ML engineering, with a strong focus on computer vision.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.
- Proficiency in Python programming and relevant libraries (NumPy, SciPy, OpenCV).
- Solid understanding of image processing techniques and algorithms.
- Experience with cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, with experience working in remote teams.
- Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
- A portfolio of successful computer vision projects is highly valued.
Senior AI/ML Engineer - Computer Vision
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for computer vision tasks.
- Train, evaluate, and optimize deep learning models using large-scale datasets.
- Develop and maintain robust data pipelines for image and video data processing.
- Deploy ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with software engineers, product managers, and other stakeholders to integrate AI/ML solutions into existing products and services.
- Stay up-to-date with the latest research and advancements in AI/ML and computer vision.
- Conduct research and experiments to explore new techniques and approaches.
- Write clean, efficient, and well-documented code.
- Contribute to the team's knowledge sharing and mentorship of junior engineers.
- Troubleshoot and debug complex ML systems.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on computer vision.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of computer vision fundamentals, including image processing, object detection, classification, and segmentation.
- Proficiency in programming languages such as Python.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with large-scale data handling and distributed training is a plus.
- A portfolio of relevant projects or contributions to open-source ML libraries is highly desirable.
Senior AI/ML Engineer (Computer Vision)
Posted 12 days ago
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Job Description
Responsibilities:
- Design, develop, train, and evaluate advanced computer vision models for tasks such as object detection, image segmentation, facial recognition, and 3D reconstruction.
- Implement and optimize deep learning architectures (e.g., CNNs, GANs) using frameworks like TensorFlow, PyTorch, or Keras.
- Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful AI solutions.
- Stay abreast of the latest research and advancements in computer vision and machine learning, incorporating new techniques into development processes.
- Deploy and integrate AI models into production environments, ensuring scalability, performance, and reliability.
- Develop robust data augmentation strategies to improve model generalization and performance.
- Conduct experiments, benchmark different approaches, and document findings thoroughly.
- Contribute to the development of intellectual property through research and innovation.
- Mentor junior AI/ML engineers and share expertise within the team.
- Write clean, efficient, and well-documented code for ML pipelines and model deployment.
- Ensure ethical considerations and bias mitigation are addressed in AI model development.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of hands-on experience in developing and deploying computer vision models in production environments.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- In-depth knowledge of classical computer vision algorithms and modern deep learning techniques.
- Experience with libraries such as OpenCV, scikit-image, NumPy, and Pandas.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving skills and the ability to tackle complex technical challenges.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to work independently and thrive in a fast-paced, remote team environment.
- Experience with data annotation tools and strategies for large-scale datasets.
Senior AI/ML Engineer (Computer Vision)
Posted 12 days ago
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Job Description
Responsibilities:
- Design, implement, and optimize deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and pose estimation.
- Develop and maintain robust data pipelines for training and evaluating ML models, ensuring data quality and scalability.
- Collaborate with cross-functional teams (product, software engineering, research) to integrate AI/ML capabilities into new and existing products.
- Conduct research and stay current with the latest advancements in AI, ML, and Computer Vision literature and techniques.
- Develop and deploy models into production environments, ensuring performance, reliability, and scalability.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (TensorFlow, PyTorch, Keras).
- Perform rigorous testing and validation of models and algorithms.
- Mentor junior engineers and contribute to the team's technical growth and best practices.
- Clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models, with a strong focus on computer vision.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python programming and experience with libraries like OpenCV, NumPy, and Pandas.
- Solid understanding of computer vision fundamentals, including image processing, feature extraction, and various deep learning architectures (CNNs, RNNs, Transformers).
- Experience with cloud computing platforms (AWS, GCP, Azure) and ML-specific services.
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities, particularly in a remote, asynchronous work environment.
- Published research in relevant conferences or journals is a strong plus.
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Senior AI/ML Engineer (Computer Vision)
Posted 13 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced computer vision models using deep learning techniques.
- Conduct research and experimentation to identify and apply state-of-the-art AI/ML algorithms.
- Process, clean, and augment large image and video datasets for model training.
- Train, evaluate, and fine-tune deep learning models for various computer vision tasks.
- Deploy and optimize AI/ML models into production environments.
- Collaborate with software engineers to integrate AI/ML solutions into existing products and platforms.
- Develop and maintain MLOps pipelines for continuous integration, testing, and deployment of models.
- Analyze and interpret model performance, identifying areas for improvement.
- Stay current with the latest advancements in AI, machine learning, and computer vision research.
- Contribute to technical documentation and knowledge sharing within the team.
- Mentor junior AI/ML engineers and guide their technical development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Extensive experience with computer vision libraries (e.g., OpenCV, Scikit-image).
- Strong programming skills in Python and experience with data science libraries (e.g., NumPy, Pandas).
- Experience with cloud platforms (AWS, GCP, Azure) for ML development and deployment.
- Familiarity with MLOps principles and tools.
- Solid understanding of machine learning fundamentals, algorithms, and evaluation metrics.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Publications in relevant AI/ML conferences or journals are a significant plus.
Senior AI/ML Engineer - Computer Vision
Posted 10 days ago
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Job Description
The ideal candidate will possess a strong background in machine learning, deep learning, and computer vision principles. You will be responsible for the entire model development lifecycle, from data preprocessing and feature engineering to model training, evaluation, and optimization. Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow or PyTorch, is essential. As this is a remote position, excellent virtual collaboration, problem-solving, and communication skills are paramount. You will collaborate closely with other AI researchers, software engineers, and product managers to bring innovative AI solutions to market.
Responsibilities:
- Design, develop, and implement state-of-the-art computer vision models.
- Perform data collection, cleaning, annotation, and preprocessing for training AI models.
- Train, validate, and optimize deep learning models for various vision tasks.
- Evaluate model performance and identify areas for improvement.
- Deploy models into production environments, ensuring scalability and efficiency.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Write clean, well-documented, and efficient code.
- Contribute to technical discussions and knowledge sharing within the team.
- Mentor junior AI engineers and researchers.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5-7 years of experience in AI/ML development, with a specialization in Computer Vision.
- Strong theoretical understanding and practical experience with deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Keras, OpenCV).
- Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Solid understanding of image processing techniques and algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to work effectively in a remote, collaborative team environment.
- Strong communication and presentation skills.
- Experience with large-scale datasets and distributed computing is a plus.
Senior AI/ML Engineer - Computer Vision
Posted 10 days ago
Job Viewed
Job Description
Responsibilities:
- Design, implement, and deploy state-of-the-art machine learning and deep learning models for computer vision tasks, including object detection, image segmentation, facial recognition, and video analysis.
- Develop and optimize algorithms for image processing, feature extraction, and pattern recognition.
- Collaborate with cross-functional teams (data scientists, software engineers, product managers) in a remote setting to define project requirements and integrate AI solutions.
- Conduct research on new AI/ML techniques and technologies to identify opportunities for innovation.
- Manage the end-to-end ML lifecycle, including data collection, preprocessing, model training, validation, and deployment.
- Develop and maintain robust data pipelines and infrastructure for large-scale visual datasets.
- Evaluate model performance, identify areas for improvement, and implement necessary enhancements.
- Stay current with the latest research papers, industry trends, and best practices in AI, ML, and Computer Vision.
- Mentor junior AI/ML engineers and contribute to fostering a collaborative remote work environment.
- Document model architectures, algorithms, and experimental results thoroughly.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
- 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 AI/ML engineering, with a strong specialization in Computer Vision.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages commonly used in AI/ML, such as Python.
- Solid understanding of classical computer vision algorithms and techniques.
- Experience with large-scale image and video datasets and associated preprocessing techniques.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML model deployment and management.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated ability to work independently and lead projects effectively in a remote setting.
- Strong communication and collaboration skills, essential for working with distributed teams.
- Experience with MLOps practices and tools is a plus.