Lead AI Systems Architect (Data-Centric AI & Multimodal)

📋 Description Design and build automated ingestion pipelines combining computer vision for scene classification Develop programmatic extraction frameworks using tools such as Instructor, Pydantic, DSPy, and Transition workloads from commercial AI APIs to fine-tuned open-source models, including Llama Implement data-centric AI techniques and frameworks, including Cleanlab, Snorkel, and active Define architectural roadmaps, establish engineering standards, and guide junior developers in Support the development of AI-driven enrichment workflows and retrieval systems capable of 🎯 Requirements At least 5 years of experience in applied AI, natural language processing, or computer vision. Proven experience designing and implementing multimodal pipelines that integrate vision, speech Advanced proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Strong experience with production LLM orchestration and structured output tools, including DSPy Hands-on experience fine-tuning and serving open-source models using vLLM, TGI, or comparable Experience with vector databases such as Qdrant, pgvector, or Pinecone, and with 🎁 Benefits Fully remote working arrangement. Annual salary of $12,000–$16,000. Opportunity to work on advanced multimodal AI systems, open-source model deployment, and Technical leadership opportunities, including architectural planning and mentoring junior