Senior Staff Software Development Engineer Video Insights (Backend)
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Summary: You are a visionary technical leader who thrives in a fast-paced innovation-driven environment. You have a deep background in machine learning systems architecture and a proven track record of designing scalable AI solutions. You are passionate about advancing the state-of-the-art in video understanding and are eager to lead the architectural vision for our large video models platform. You constantly strive to improve team capabilities and drive technical excellence across the organization.
The pace of our growth is incredible if you want to architect cutting-edge AI systems at scale and create an impact within an entrepreneurial environment join us!
About the team: Join our Video CoE team and own the face of our next-generation video intelligence platform. You will build the interfaces that transform raw AI insights into actionable value for millions of users and internal experts alike. This role offers a unique opportunity to work at the intersection of high-scale video streaming data science and modern frontend architecture. Be part of a team that is shaping how users interact with and understand video content globally.
Key responsibilities:
- Design and architect scalable ML systems infrastructure for deploying and serving large video models in production environments
Define the technical strategy and best practices for model development evaluation and monitoring across the team
Lead architectural decisions around model selection optimization and fine-tuning pipelines for video understanding tasks
Collaborate with research and engineering teams to translate complex AI research into production-ready systems
Champion adoption of MLOps best practices including model versioning A/B testing and continuous evaluation frameworks
Drive performance optimization initiatives to ensure models meet latency and throughput requirements at scale
Mentor and guide engineers on architectural patterns design decisions and technical trade-offs in AI systems
Establish frameworks for model evaluation metrics benchmarking and continuous improvement processes
Skills and attributes for success:
- 10 years of experience in software architecture or systems design with 5 years focused on ML/AI systems architecture
Deep expertise in designing scalable machine learning systems including data pipelines model serving and inference optimization
Strong background in large-scale distributed systems cloud infrastructure (AWS/GCP/Azure) and containerization (Docker Kubernetes)
Hands-on experience with modern ML frameworks (PyTorch TensorFlow) and MLOps tools (MLflow Kubeflow Airflow)
Expert-level proficiency in at least one programming language (Python Java or C) with strong software engineering fundamentals
Deep understanding of video processing pipelines codec standards (H.264 HEVC AV1) and streaming technologies
Experience with deploying and scaling video understanding or multimodal AI models in production environments
Knowledge of model optimization techniques including quantization pruning knowledge distillation and efficient inference
BE/ in Computer Science Electrical Engineering or equivalent. MS or PhD in ML/AI is a strong plus
Excellent communication skills and ability to drive alignment across technical and non-technical stakeholders
Preferred education and experience:
- Bachelors/masters in computer science or a related field with 10-13 years of development experience
Required Experience:
Staff IC
About Company
JioStar combines the power of Reliance’s Viacom18 and Disney Star, delivering unmatched entertainment with 120+ TV channels and two leading streaming platforms. Explore a new era of content with JioStar.
