Computer Vision Engineer
First seen by Alion on Sep 16, 2026.
Key Responsibilities:
- Develop, train, and optimize production-grade computer vision models - object detection, instance segmentation, classification, and tracking.
- Deploy and optimize models on embedded AI platforms and edge devices for low-latency, real time inference.
- Build and integrate end-to-end CV pipelines into IoT systems and edge-to-cloud architectures.
- Apply model optimization techniques - quantization, pruning, distillation, and hardware acceleration - to meet edge constraints.
- Establish and maintain robust MLOps practices: CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines.
- Benchmark and profile model performance (latency, throughput, memory, power) across target hardware.
- Collaborate with hardware, firmware, and product teams to ship reliable, scalable edge AI solutions.
- Maintain high standards of code quality, documentation, and reproducibility across the model lifecycle.
Required Skills & Experience:
- 3 - 8 years of hands-on experience in computer vision and deep learning.
- Strong proficiency in Python and CV / DL frameworks (PyTorch, TensorFlow, OpenCV).
- Proven track record building and deploying production-grade CV models.
- Deep expertise in instance segmentation and real-time CV systems.
- Hands-on embedded AI / edge deployment experience (e.g., NVIDIA Jetson, TensorRT, OpenVINO, Coral, ARM-based platforms).
- Experience with IoT architectures and edge-cloud integration.
- Strong MLOps skills: CI/CD, containerization (Docker), model registries, monitoring, and automated retraining.
- Solid understanding of model optimization for constrained hardware (quantization, pruning, compression).
Nice to Have:
- C++ for performance-critical inference paths.
- Familiarity with cloud ML workflows (AWS / Azure / GCP).
- Exposure to ONNX, GStreamer, or NVIDIA DeepStream pipelines.
- Knowledge of MQTT or other IoT messaging protocols.
- Experience with Kubernetes / Kubeflow for ML orchestration.
What We Offer:
- Opportunity to work on cutting-edge edge AI and real-time vision products.
- A collaborative, hands-on engineering culture based in Chennai.
- Ownership of the full model lifecycle, from research to production.
Skills
Machine Learning, Computer Vision, Python, Edge AI, MLOps, Artificial Intelligence, Deep Learning, Image Recognition, Clinical Data Management, Tensorflow