We are seeking a proficient AI Engineer passionate about turning AI research into tangible, effective solutions within our long-term client projects. As an AI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, making AI accessible and valuable in a real-world context. Responsibilities
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Apply your knowledge of AI systems and software engineering to develop solutions that solve real business problems.
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Collaborate closely with Data Science and Data Engineering professionals to address technical challenges and ensure the use of best practices in Data & AI.
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Contribute to the development and optimization of applied AI components, focusing on performance and scalability.
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Work with generative AI models, including LLMs, to design prompts and solutions tailored to specific use cases.
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Help implement AI solutions while following industry best practices for moderation, security, monitoring, and compliance.
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Apply principles of Responsible AI across all stages of the solution lifecycle.
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Support the design and measurement of model outputs, assisting in the development of standard and custom evaluation metrics to align with business objectives.
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Help translate AI research and proof-of-concepts (PoCs) into production-ready features that integrate into larger systems.
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Assist in selecting and applying appropriate evaluation metrics to ensure robustness and fairness in AI solutions.
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Analyze unstructured data (such as text, audio, and images) to extract patterns and generate actionable insights that align with business objectives.
Requirements
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Hands-on experience in applied AI, with a strong foundation in machine learning, NLP, LLMs, and statistical analysis.
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Understanding of different generative AI models and their trade-offs for various use cases.
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Experience with embeddings and vector databases, with the ability to evaluate and apply them for optimized data ingestion and retrieval.
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📌 Platform AI Engineer (Buenos Aires)
🏢 GM2
📍 Buenos Aires
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