Auriga - Lead Engineer - Artificial Intelligence

Description : Position Overview :

Were hiring an AI Lead Engineer to architect, ship, and scale production-grade Computer Vision with a focused GenAI charter.

Youll lead 610 ML / CV engineers to deliver high-accuracy, low-latency video analyticsdetection, tracking, segmentation, recognition, re-identificationtackling multi-camera tracking, 24 / 7 streaming at scale, long-tail drift, and edge optimization on GPUs / Jetson, while partnering with Product / Platform to meet FPS, latency, accuracy, and cost SLAs.

The day-to-day centers on core CV model design, training / leval, deployment, and streaming / edge performance, complemented by GenAI that amplifies the stack : integrating VLM / LLM capabilities for natural-language video search, incident summarization, operator Q&A, and copilot workflows; standing up RAG over video / sensor / metadata embeddings with robust prompts, tooling, evals, and guardrails; and driving data ops with synthetic data, auto-labeling, active-learning triage with privacy, safety, and cost controls.

What Youll Own :

End-to-end delivery of CV products : problem framing / data / labeling / model design /

optimization / deployment / monitoring / iteration.

Technical roadmap & architecture for video analytics pipelines (ingest / decode / infer / track / post-process / store / serve).

Team leadership : mentoring, hiring input, OKRs, code / research standards, and performance coaching.

Key Responsibilities : Leadership & Execution :

• Translate business goals (e.g., reduce shrinkage, increase throughput, improve safety) into

measurable CV objectives and SLAs / SLOs (e.g., mAP / IDF1, per-frame latency, dropped-frame

rate, cost / stream).

Mask R-CNN / Mask2Former, EfficientNet / ConvNeXt, Build person / vehicle / product re-ID, face / attribute recognition (e.g., ArcFace / CosFace), OCR (e.g., PP-OCR), and keypoint / action recognition (e.g., MMPose, SlowFast / X3D).

video analytics.

Strong in at least one per category (and comfortable across most) :

Jetson fleet management :

security / safety, sports analytics.

(Nice to have) Multimodal exposureCLIP / SigLIP, SAM / Mask2Former, or VLMs for captioning / searchused sparingly to support CV workflows

(ref : hirist.tech)