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Mid-level, specialized CV+ASR role in Bangalore with moderate applicant competition.
Core ML skills transferable but agricultural speech/vision expertise increases domain specificity.
Explicit 6+ years requirement and mandatory CV/ASR production experience.
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Lead development of scalable computer vision and multilingual speech/audio processing systems tailored for farmer-facing advisory platforms.
Design, deploy, and maintain production-grade image and audio ML pipelines ensuring model reliability with robust evaluation and monitoring frameworks.
Collaborate cross-functionally and mentor junior engineers to translate product requirements into effective AI model solutions in low-resource agricultural environments.
6+ years of experience as AI/ML engineer, data scientist, or software engineer with hands-on ML deployment experience.
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field focused on ML, Computer Vision, or Signal Processing.
Proven expertise in computer vision (classification, detection, segmentation) and speech/audio processing including ASR models like Whisper or Azure Cognitive Services.
Proficiency in Python and frameworks like PyTorch, OpenCV, torchaudio, with experience in model optimization techniques (quantization, pruning, distillation).
Experienced in deploying and scaling multimodal AI systems (vision and speech) in production, especially in challenging real-world conditions (noise, low light, varied accents).
Skilled in building secure, compliant AI pipelines addressing adversarial inputs, privacy standards (GDPR, HIPAA), and anomaly detection.
Strong cross-functional collaborator who can lead complex AI projects and mentor junior engineers, with practical knowledge of domain-specific agricultural applications.