AI/ML Engineer

As an AI ML Engineer specializing in Computer Vision and Deep Learning, you will be responsible for utilizing your expertise in Deep Learning to work with CNNs, SSD, and other architectures using TensorFlow and PyTorch. Your proficiency in Computer Vision with OpenCV or equivalent libraries will be essential for building image processing and computer vision pipelines. In addition, your experience with Model Deployment and MLOps, particularly with Azure Custom Vision, CI/CD, model versioning, OTA deployment, and managing the full model lifecycle, will be crucial. Key Responsibilities: - Utilize Deep Learning expertise to work with CNNs, SSD, and other architectures using TensorFlow and PyTorch - Build image processing and computer vision pipelines using Computer Vision skills with OpenCV or equivalent libraries - Deploy models using MLOps practices, including Azure Custom Vision, CI/CD, model versioning, OTA deployment, and managing the full model lifecycle Qualifications Required: - Strong hands-on experience in Deep Learning - Proficiency in Computer Vision using OpenCV or equivalent libraries - Experience with Model Deployment and MLOps, specifically with Azure Custom Vision and CI/CD practices The company is a Manufacturing domain, and as an AI ML Engineer, you will also need to have solid Python programming skills with experience deploying models on cloud platforms such as Azure, AWS, or GCP. Familiarity with Docker, Kubernetes, and exposure to embedded edge AI deployment environments will be an added advantage. As an AI ML Engineer specializing in Computer Vision and Deep Learning, you will be responsible for utilizing your expertise in Deep Learning to work with CNNs, SSD, and other architectures using TensorFlow and PyTorch. Your proficiency in Computer Vision with OpenCV or equivalent libraries will be essential for building image processing and computer vision pipelines. In addition, your experience with Model Deployment and MLOps, particularly with Azure Custom Vision, CI/CD, model versioning, OTA deployment, and managing the full model lifecycle, will be crucial. Key Responsibilities: - Utilize Deep Learning expertise to work with CNNs, SSD, and other architectures using TensorFlow and PyTorch - Build image processing and computer vision pipelines using Computer Vision skills with OpenCV or equivalent libraries - Deploy models using MLOps practices, including Azure Custom Vision, CI/CD, model versioning, OTA deployment, and managing the full model lifecycle Qualifications Required: - Strong hands-on experience in Deep Learning - Proficiency in Computer Vision using OpenCV or equivalent libraries - Experience with Model Deployment and MLOps, specifically with Azure Custom Vision and CI/CD practices The company is a Manufacturing domain, and as an AI ML Engineer, you will also need to have solid Python programming skills with experience deploying models on cloud platforms such as Azure, AWS, or GCP. Familiarity with Docker, Kubernetes, and exposure to embedded edge AI deployment environments will be an added advantage.