14 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own end-to-end development of video insights use cases from requirements through production deployment.
- Design and implement pipelines integrating video AI models with platform services and data infrastructure.
- Develop scalable distributed systems and cloud-based solutions for large-scale video processing.
- Build evaluation frameworks and dashboards for feature performance, user satisfaction, and business impact.
- Optimize video processing workflows for performance, cost, latency, and quality.
- Collaborate with research scientists, data engineers, and product managers on specifications and success metrics.
- Monitor, profile, and iteratively optimize deployed features.
- Mentor junior engineers and contribute to technical documentation and knowledge sharing.
Requirements
- 7+ years of professional software engineering experience, including 3+ years working with production ML systems or AI-powered features.
- Expertise in Python or C++ with strong software engineering fundamentals.
- Hands-on experience building and deploying end-to-end ML pipelines in production.
- Experience with video processing technologies, codecs, containers, and streaming protocols such as HLS and DASH.
- Experience with large-scale distributed systems, big data platforms, and cloud infrastructure.
- Proficiency with data engineering tools and frameworks such as Apache Spark, Kafka, and Airflow, or equivalent.
- Understanding of ML fundamentals including model evaluation, feature engineering, and debugging ML systems.
- Experience processing video or image data at scale.
- Strong software architecture, system design, problem-solving, ownership, communication, and collaboration skills.
- Bachelor's or master's degree in computer science or a related field, or a BE/B.Tech in Computer Science or Electrical Engineering; MS or PhD is a plus.
Benefits
- Full-time onsite work in Bangalore.
- Equal opportunity workplace committed to diversity and nondiscrimination.
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