Title:  Senior ML Engineer (Computer Vision & Video Analytics)

We are seeking a Senior ML Engineer to lead the design and deployment of next-generation real-time computer vision and video analytics platforms. This role combines cutting-edge computer vision, Generative AI, and agentic AI to power large-scale, mission-critical solutions across edge, on-prem, and cloud environments.

What You’ll Do

• Lead the architecture and development of enterprise-grade, real-time video analytics solutions.
• Build and optimize distributed data pipelines for high-volume, low-latency video streams.
• Integrate advanced deep learning and multimodal AI models (detection, segmentation, tracking, classification) into live video workflows.
• Apply Generative AI (LLMs, multimodal, RAG) to enhance situational awareness and adaptive system response.
• Drive GPU optimization and performance tuning for large-scale deployments.
• Shape our AI roadmap, evaluating and adopting the latest advancements in CV, GenAI, and agentic AI.
• Ensure scalability, reliability, and governance of deployed AI systems.

What We’re Looking For

• Bachelor Degree with 6+ years of hands-on experience in computer vision, AI/ML, or video analytics, with real-world deployments.
• Strong expertise in cloud platforms (AWS, GCP) — experience with services like Sagemaker, Vertex AI, BigQuery, Kinesis, or equivalent.
• Proficiency with video frameworks (NVIDIA DeepStream, OpenCV, GStreamer) and modern CV models (YOLO, DETR, SAM, Transformers).
• Solid knowledge of real-time data streaming (Kafka, Pub/Sub, or similar).
• Strong programming skills in Python and C++, with experience in PyTorch, TensorFlow, TensorRT.
• Hands-on experience with GPU acceleration (CUDA), Docker/Kubernetes, and microservices for scalable AI systems.
• Familiarity with GenAI and agentic AI frameworks in production settings.

Nice-to-Haves

• Experience with MLOps: model deployment, monitoring, lifecycle management.
• Understanding of video compression and streaming protocols (H.264, H.265, RTSP, WebRTC).
• Strong communication and leadership skills to influence both technical direction and business strategy.