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Descripción de la vacante
Go Cadre in Medellín is seeking a talented AI Engineer to join their dynamic team. The role requires technical expertise in machine learning and AI, with a focus on large language models like OpenAI's GPT. The ideal candidate should have over 5 years of experience in AI/ML, proficiency in Python, and a strong analytical mindset. Responsibilities include designing machine learning models, optimizing AI algorithms, and collaborating in a multidisciplinary environment. Monthly compensation ranges from $3,000 to $4,000 USD, based on experience.
Formación
5+ years of experience as an AI/ML Engineer or in a similar role.
Hands-on experience with LLMs, including OpenAI GPT‑4, Anthropic Claude, Google Gemini, and open‑source models like Llama.
Strong expertise in building retrieval-augmented generation systems, agent frameworks, and LLM chains.
Solid understanding of machine learning algorithms, deep learning techniques, and natural language processing.
Responsabilidades
Design and implement machine learning models and AI algorithms for various applications.
Develop and optimize prompts for LLMs to align with business objectives.
Evaluate and fine-tune ML models and LLMs using rigorous testing techniques.
Collaborate with teams to integrate AI models into products and services.
Conocimientos
Machine learning
Artificial intelligence
Large language models (LLMs)
Python
Problem-solving
Analytical skills
Educación
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
Herramientas
PyTorch
SQL (Postgres)
Snowflake
Hadoop
Spark
Descripción del empleo
Go Cadre in Medellín is seeking a talented AI Engineer to join their dynamic team. The role requires technical expertise in machine learning and AI, with a focus on large language models like OpenAI's GPT. The ideal candidate should have over 5 years of experience in AI/ML, proficiency in Python, and a strong analytical mindset. Responsibilities include designing machine learning models, optimizing AI algorithms, and collaborating in a multidisciplinary environment. Monthly compensation ranges from $3,000 to $4,000 USD, based on experience.
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