18 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Own video insights use cases from requirements analysis through production deployment.
- Design and implement pipelines integrating video AI models with platform services and data infrastructure.
- Build scalable distributed systems for processing large volumes of video content on cloud platforms.
- Collaborate with research scientists, data engineers, and product managers on specifications and success metrics.
- Build evaluation frameworks and dashboards for feature performance, user satisfaction, and business impact.
- Optimize video processing workflows for performance, cost, latency, and quality.
- Mentor junior engineers and contribute to documentation and technical knowledge sharing.
- Monitor, profile, and iteratively optimize deployed features.
Requirements
- Expert-level proficiency in at least one of Python, Java, or C++.
- Strong software engineering, architecture, system design, and scalable systems development fundamentals.
- Hands-on experience building and deploying end-to-end machine learning pipelines in production.
- Understanding of 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, or Airflow.
- Understanding of machine learning fundamentals, including model evaluation, feature engineering, and debugging ML systems.
- Experience processing video or image data at scale.
- Bachelor’s or master’s degree in computer science or a related field.
- 4–6 years of backend development experience.
- Strong problem-solving, ownership, communication, and cross-functional collaboration skills.
Benefits
- Full-time, onsite work in Bangalore.
- Opportunity to build and own video intelligence features at scale.
- Mentoring and knowledge-sharing responsibilities within the engineering team.
Tech Stack
Categories
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