Lead AI Systems Architect, Data-Centric AI, Multimodal

🔥 21 hours ago

🇸🇪 Sweden – Remote

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AWISEE

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

📣 Marketing

☁️ SaaS

🛍️ eCommerce

Marketing • SaaS • eCommerce

AWISEE is a European digital marketing and SEO agency specializing in international link building, Digital PR, and influencer/KOL marketing. The fully-remote company provides outsourced, manual outreach and white-label link building at scale across Europe, Latin America, APAC, North America and other regions, backed by a large publisher network. AWISEE serves B2B clients and agencies and offers tailored SEO services for industries such as SaaS, eCommerce, iGaming, crypto and fintech.

📋 Description

• Design and build multimodal AI pipelines combining computer vision, speech-to-text (Whisper), and LLMs into automated ingestion workflows • Implement programmatic extraction frameworks (Instructor, Pydantic, DSPy, Outlines) to enforce strict, validated JSON outputs from generative models • Transition workloads from commercial APIs to fine-tuned open-source models (Llama 3/4, Qwen, DeepSeek) running on local inference engines (vLLM, TGI, Groq) • Deploy data-centric AI frameworks (Cleanlab, Snorkel, Active Learning) to automate millions of labels and clean noisy datasets • Guide junior developers, establish engineering best practices, and set architectural roadmaps for data enrichment • Convert raw, unstructured social content (short-form video, audio, captions, and visual metadata) into high-precision structured data products

🎯 Requirements

• 5+ years of experience in Applied AI, Natural Language Processing, or Computer Vision • Proven experience building multimodal pipelines integrating vision, speech, and text models • Mastery of Python, PyTorch/TensorFlow, and production LLM orchestration tools (DSPy, Instructor, Pydantic, LangChain/LlamaIndex) • Hands-on experience fine-tuning and serving open-source models using vLLM, TGI, or similar high-throughput inference engines • Experience with vector databases (Qdrant, pgvector, Pinecone) and RAG architectures at scale • Preferred: Prior experience with social media data pipelines (TikTok, Instagram Reels, YouTube Shorts) • Preferred: Background in data-centric AI, active learning, or synthetic data generation

🏖️ Benefits

• Remote work arrangement