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Senior, highly specialized generative AI and CV requirements reduce applicant density despite Bangalore location.
Role demands deep generative-model and media-domain expertise, limiting easy transfer across industries.
Explicit 10+ years, PhD preference, and mandatory ML/LLM, CV, and MLOps expertise create strict filters.
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Define and lead long-term AI/ML technical vision for media understanding and generation at scale.
Architect and oversee multimodal machine learning systems integrating visual, audio, and text data with petabyte-scale data annotation and storage.
Drive technical innovation through building scalable foundational ML platforms, optimizing inference, and implementing evaluation frameworks.
10+ years experience in machine learning, including at least 2 years with large language models, diffusion models, or generative image/video models.
Ph.D. or Master's degree in Computer Science, Machine Learning, Data Science, or related quantitative field.
Expert proficiency in Python, Java, or C++ with experience in distributed computing frameworks (e.g., Spark, Flink).
Experience deploying large-scale ML systems using tools like Kafka, Airflow, Kubernetes, and cloud AI services (AWS Bedrock, SageMaker).
Strong background in scientific leadership with ability to influence cross-functional and executive stakeholders without direct authority.
Proven expertise in computer vision techniques (e.g., YOLO, Mask R-CNN) and AI infrastructure optimization (TensorRT, Triton Inference Server).
Experience building scalable, unified AI platforms replacing siloed systems in global media or content-heavy environments.