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AI Systems Architect
3 hours ago
We are seeking a highly skilled expert to design, develop, and deploy innovative machine learning models and AI-driven solutions. This role involves working on complex business challenges using artificial intelligence, data science, and intelligent systems.
Key Responsibilities:
- Design, develop, and optimize machine learning models and AI-driven solutions to address business challenges.
- Implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI model capabilities, integrating vector databases and retrieval models.
- Develop and fine-tune large language models (LLMs) for NLP applications, leveraging transformers and embedding-based search.
- Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
- Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
- Preprocess, clean, and analyze large-scale datasets while ensuring data privacy, security, and compliance (e.g., GDPR, HIPAA, SOC 2).
- Develop and deploy secure and scalable ML pipelines, leveraging MLOps best practices for continuous integration and deployment.
- Monitor, evaluate, and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques.
- Implement AI security best practices, including adversarial attack detection, model integrity verification, and bias mitigation.
- Stay updated with LLMs, generative AI, retrieval-based AI trends, and secure AI development methodologies.
- Deploy and manage AI/ML models on cloud platforms such as AWS, Azure, or GCP, ensuring compliance with secure AI governance frameworks.
- Work with vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and retrieval frameworks (e.g., LangChain, LlamaIndex).
- Build and optimize secure APIs, ensuring protection against data leaks, prompt injection attacks, and unauthorized access.
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