2 Senior AI Ml Engineer Computer Vision jobs in whatjobs
Senior AI/ML Engineer (Computer Vision)
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is perfect for a forward-thinking individual eager to push the boundaries of artificial intelligence and machine learning. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. This includes working with large datasets, experimenting with state-of-the-art algorithms, and contributing to the full ML lifecycle. The ideal candidate will have a strong theoretical foundation and practical experience in deep learning, image processing, and related fields. This is a remote-first position, offering significant flexibility and the opportunity to collaborate with a globally distributed team.
Responsibilities:
Qualifications:
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.
This advertiser has chosen not to accept applicants from your region.
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Senior AI/ML Engineer - Computer Vision
Posted 5 days ago
Job Viewed
Job Description
Our client is a leader in artificial intelligence research and development, seeking a highly skilled Senior AI/ML Engineer specializing in Computer Vision to join their elite, fully remote team. You will be instrumental in designing, developing, and deploying state-of-the-art computer vision models and applications that push the boundaries of what's possible. This role requires a deep understanding of deep learning frameworks, algorithm development, and the ability to work on complex, challenging problems from inception through to production. The ideal candidate is a creative problem-solver with a passion for computer vision and a proven track record of delivering impactful AI solutions.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and train deep learning models for various computer vision tasks, including object detection, image segmentation, facial recognition, and image generation.
- Develop and optimize algorithms for real-time image and video analysis.
- Conduct rigorous experimentation and evaluation of models, using appropriate metrics and statistical methods.
- Collaborate with cross-functional teams to integrate computer vision capabilities into new and existing products and services.
- Stay current with the latest research and advancements in computer vision and deep learning, and apply them to solve practical problems.
- Develop and maintain efficient data pipelines for training and inference.
- Optimize model performance for deployment on various platforms, including cloud and edge devices.
- Contribute to the overall AI/ML strategy and roadmap of the company.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, algorithms, and implementation details thoroughly.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of hands-on experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and C++.
- Strong understanding of core computer vision algorithms and techniques.
- Experience with large-scale datasets and distributed training environments.
- Solid grasp of image processing, feature extraction, and machine learning principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a fast-paced, fully remote environment.
- Strong communication and presentation skills to articulate technical concepts effectively.
- Experience with cloud platforms (AWS, GCP, Azure) for ML model training and deployment is a plus.
- Publications in top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, NeurIPS) are highly valued.
This advertiser has chosen not to accept applicants from your region.
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