11 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and architect scalable ML systems infrastructure for deploying and serving large video models in production.
- Define technical strategy and best practices for model development, evaluation, monitoring, versioning, A/B testing, and continuous evaluation.
- Lead architectural decisions for model selection, optimization, and fine-tuning pipelines for video understanding.
- Translate AI research into production-ready systems in collaboration with research and engineering teams.
- Drive model performance optimization to meet latency and throughput requirements at scale.
- Establish model evaluation metrics, benchmarking, and continuous improvement frameworks.
- Mentor and guide engineers on AI system architecture, design decisions, and technical trade-offs.
Requirements
- 10+ years of experience in software architecture or systems design, including 5+ years focused on ML/AI systems architecture.
- Deep expertise in scalable machine learning systems, data pipelines, model serving, and inference optimization.
- Strong background in large-scale distributed systems, cloud infrastructure, and containerization.
- Hands-on experience with PyTorch, TensorFlow, MLflow, Kubeflow, and Airflow.
- Expert-level proficiency in Python, Java, or C++ and strong software engineering fundamentals.
- Deep understanding of video processing pipelines, H.264, HEVC, AV1, and streaming technologies.
- Experience deploying and scaling video understanding or multimodal AI models in production.
- Knowledge of quantization, pruning, knowledge distillation, and efficient inference.
- BE/B.Tech in Computer Science, Electrical Engineering, or equivalent; an MS or PhD in ML/AI is preferred.
- Preferred qualifications include a bachelor's or master's degree in computer science or a related field and 10–13 years of development experience.
- Excellent communication skills and ability to align technical and non-technical stakeholders.
Benefits
- Full-time, onsite work in Bangalore.
- Opportunity to shape a next-generation video intelligence platform serving millions of users.
- Equal opportunity workplace committed to diversity and nondiscrimination.
Tech Stack
Categories
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