to design, build, and optimize intelligent systems across our IPTV & OTT platforms. The ideal candidate will lead end-to-end AI/ML initiatives, ensuring scalable, high-performance solutions for real-time analytics and advanced automation.
Responsibilities
Architect and implement AI/ML solutions for network monitoring, QoS/QoE analytics, and predictive maintenance
Build scalable ML models using TensorFlow, PyTorch, and Scikit-learn
Develop real-time data pipelines using Spark, Kafka, and cloud-native services
Work with LLMs, NLP, and Computer Vision models for automation and insights
Collaborate with product, data, and engineering teams to deliver optimized AI systems
Lead MLOps implementation (Docker, Kubernetes, MLflow, Airflow)
Ensure model performance, drift detection, and continuous optimization
Required Skills
Strong expertise in Machine Learning & Deep Learning
Hands-on experience in PyTorch, TensorFlow, and Python
Solid understanding of OTT/IPTV streaming protocols (HLS, DASH, RTP/RTSP)
Experience with Big Data tools: Kafka, Spark, Elasticsearch
Cloud experience (AWS/GCP/Azure)
Knowledge of video quality metrics (VMAF, SSIM) is a plus
Strong problem-solving and system design skills
Qualifications
5+ years of experience in AI/ML development & architecture
Proven experience building scalable ML pipelines
Experience with real-time monitoring systems preferred
Job Types: Full-time, Permanent, Fresher
Work Location: In person
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