Gen AI Architect

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• 15+ years of overall technology experience, with strong expertise in AI/ML and Generative AI. \n

• Recent hands-on experience building and deploying LLM-based solutions. \n

• Strong understanding of Transformer architectures and models such as BERT, RoBERTa, GPT, and Llama. \n

• Experience with Google Cloud Platform (GCP) and large-scale data processing. \n

• Proficiency in Python, TensorFlow/PyTorch, NumPy, Pandas, and Scikit-learn. \n

• Strong understanding of cloud-native architecture, APIs, microservices, and distributed systems. \n

• Experience with model evaluation, benchmarking, and performance optimisation. \n

• Knowledge of CI/CD, infrastructure automation, SQL/NoSQL databases, and cloud security. \n

• Experience with Python and C/C++ programming, including performance analysis and debugging. \n, * Experience with Vertex AI, Amazon SageMaker, Kubernetes, and Google Kubernetes Engine (GKE). \n

• Knowledge of data parallelism and model parallelism. \n

• Experience with enterprise AI strategy, data platforms, and data warehouse technologies.

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• Design and architect scalable Generative AI and LLM-based solutions. \n

• Lead the development of AI-powered features and solutions within product engineering environments. \n

• Translate business requirements into effective AI/ML solutions. \n

• Evaluate, benchmark, and optimise LLMs for different business use cases. \n

• Lead technical proof of concepts (PoCs) and validate architectural feasibility. \n

• Collaborate with Data Scientists, ML Engineers, and Business Analysts to deliver AI solutions. \n

• Ensure solutions meet cloud-native architecture, performance, security, and scalability requirements. \n

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One of our clients, an AI-native start-up, is looking for an experienced Gen AI Architect with strong hands-on expertise in Generative AI, Large Language Models (LLMs), and Cloud-Native Architecture