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Mid-level ML/CV role in metro with niche skills produces moderate competition.
Computer vision and production ML skills are transferable but require niche domain expertise.
Explicit 5+ years plus production ML, CV, and deployment requirements make filters strict.
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Develop and deploy end-to-end AI/ML pipelines focusing on computer vision and deep learning solutions.
Build production-ready models for object detection, image processing, and visual data extraction with optimized accuracy and performance.
Collaborate with engineering teams to integrate ML models into scalable applications and improve system reliability through troubleshooting and performance tuning.
Minimum 5 years of hands-on experience in AI/ML engineering with strong expertise in computer vision and deep learning.
Proficiency in Python programming and production-level coding skills.
Experience in building and deploying ML models in production environments with knowledge of CNNs, Transformers, and model optimization.
Location: Hyderabad, India; Employment Type: Full-time
Expertise in computer vision techniques including object detection using YOLO and experience fine-tuning and optimizing deep learning models.
Experience with ML frameworks such as PyTorch, TensorFlow, and OpenCV, along with familiarity of deployment tools like Docker and Kubernetes.
Capability to manage complete ML lifecycle including dataset preparation, augmentation, hyperparameter tuning, and cloud platform usage (Azure/AWS).