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Senior, niche ML/CV role at a known company in Bangalore reduces broad applicant density.
Highly specialized computer vision, generative models, and inference skills limit cross-industry transferability.
Explicit 10+ years, PhD preference, and many mandatory ML, inference, and infra technologies drive strict filters.
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Lead technical architecture and define long-term AI/ML vision for media understanding and generation across content products.
Design and build scalable, multimodal machine learning systems integrating visual, audio, and textual data, focusing on efficient data annotation and storage at petabyte scale.
Oversee inference optimization, evaluation frameworks, and mentor teams to align engineering with strategic business goals.
8+ years of professional experience in machine learning or data science, with significant leadership in AI/ML system design.
Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Data Science, or related quantitative discipline.
Proficiency in Python, Java, or C++ with knowledge of multi-threading, distributed computing (e.g., Spark, Flink).
Experience with deep learning frameworks (PyTorch or TensorFlow), computer vision (e.g., YOLO, Mask R-CNN), and deploying large-scale ML systems with tools like Kafka, Airflow, Kubernetes, cloud AI services.
Experienced technical leader capable of defining AI/ML strategy beyond project delivery, influencing cross-functional and executive stakeholders without direct authority.
Hands-on expertise in multimodal machine learning architectures, generative AI (LLMs, diffusion models), and real-time inference optimizations using GPU acceleration techniques.
Proven ability to build foundational, scalable ML platforms replacing siloed efforts, with strong understanding of evaluation methodologies and telemetry implementation for deployed models.