مهندس هوش مصنوعی

توضیحات آگهی

شرح شغل آیتیکا به دنبال جذب یک همکار در حوزه هوش مصنوعی کاربردی است تا به تیم فنی فعلی ملحق شود این نقش توسعه و تحویل مدل به صورت سرویس قابل استفاده در محصول است نه صرفاً پژوهش تمرکز اصلی بر بینایی ماشین است و کار با مدل های زبانی و بازیابی اطلاعات نیز بخشی از مسئولیت هاست About the Role You ll own the AI surface of a commercial platform handling high value transactions across two problem areas 1 Trust in user submitted media Decide automatically whether photos video from users are live and genuine not a screen recapture reused image or manipulated media Also face matching and liveness for identity verification Output is a score with a reason gated by business rules Calibration matters more than raw accuracy the system must know when to say refer to a human Not about counterfeit inauthentic goods detection please don t apply expecting to build that 2 Language and retrieval Extracting a fixed schema from messy conversational text and semantic search matching over a private catalogue Being wrong is expensive here so evaluation discipline matters more than fluency a narrow well measured extractor beats an impressive generator Role starts in CV language retrieval work follows Core Requirements Computer Vision Object detection and image quality assessment Multi view consistency same object across captures Face detection matching and liveness presentation attack detection print screen replay mask deepfake Video basics frame sampling temporal consistency Media forensics EXIF recompression artifacts near duplicate reverse image matching Confidence calibration and thresholding human review escalation design Working with limited labelled data bootstrapping augmentation realistic expectations at low volume Core Requirements Language Retrieval Extracting fixed schemas from conversational text LLM APIs prompt design tool function calling schema constrained output missing fields stay missing never invented Building eval sets regression testing prompt model changes Embeddings and vector search hybrid lexical semantic retrieval Persian language reality normalization ی ک ZWNJ digits tokenization realistic Farsi LLM embedding expectations Tech Stack Language Serving Python Flask or FastAPI Async Queues Redis or RabbitMQ Celery style async workers jobs queue retry write back Vector DB pgvector Qdrant or Milvus Interfaces REST gRPC LLM APIs OpenAI Anthropic local providers function calling schema constrained output ML CV PyTorch or equivalent ONNX Runtime TorchServe Triton for serving Fine tuning LoRA adapter style on small domain datasets nice to have Infra Docker Linux GPU vs CPU cost latency tradeoffs Nice to Have KYC identity verification experience Fraud and risk scoring Persian OCR reading serial numbers from photos On device edge inference for Android RAG in production not a demo What Matters Most You shape what the app captures accuracy is decided more by capture design than model choice you ll work directly with mobile on this Knowing when not to use a model some of this is better served by deterministic logic The model proposes a person decides Ability to read English papers docs APIs Ownership mindset small team fast decisions minimal process تهران احمدآباد مستوفی تمام وقت آیتیکا مدیر میانی جنسیت تفاوتی ندارد فناوری اطلاعات نرم افزار و سخت افزار