Senior Llm Engineer

hace 4 días

Capital Federal Buenos Aires, Argentina Business Commercial Management A tiempo completo

BCM Uruguay is Hiring Senior LLM Engineer Remote - LATAM **English Level**: B2+ / C1 - Advanced Contractor - USD ⏱ Full-Time Para empresa multinacional de servicios en ingeniería digital, especialista en software de última generación y en desarrollo de productos digitales. Cuando una idea aparece, nacen la motivación y el deseo de concretarla. Esa motivación es la que mueve a nuestro equipo. Desde que comenzamos a dar nuestros primeros pasos solo hemos tenido una idea en mente, la tecnología es siempre el camino. ¿Buscas nuevos desafíos en tu carrera? En BCM encontrarás un equipo que nunca deja de crecer y que se suma a todo tipo de proyectos. Estamos listos para hacerlo, contamos contigo Ser parte de BCM es ✔ formar equipo con grandes profesionales ✔ trabajar desde casa ✔ tener cubiertos gastos por conectividad ✔ disfrutar de descuentos en capacitaciones ✔ disfrutar el día libre de cumpleaños Y mas Nuestros Valores ➡ confiabilidad, empatía, compromiso, ética profesional, responsabilidad social Nuestros Servicios > Desarrollo de Software Desarrollo Web - Desarrollo Mobile - Diseño UX/UI - Metodologías Áglies - IT Microinformática - Help Desk - Soluciones de Cableado - Cloud - Ciberseguridad - Gobernance, Riesgo y Cumplimiento - BCP / DRP - Consultoría BigData & BI - Blockchain - Servicios Profesionales - Diseño Diseño Gráfico - Branding - Diseño de Packaging - Diseño de Producto - UX/UI - Animación 2D y 3D - Redes Sociales WeAreHuman #WeAreFamily #WeAreBCM **Requisitos**: **LLM-specific qualifications**: Experience with large language models, especially OpenAI. Experience with Python. Experience with generative AI APIs/libraries such as Hugging Face, LangChain, and OpenAI. Experience with vector databases like ChromaDB, Pinecone, Weaviate, others. Proficient in Prompt Engineering and related techniques (e.g. chain-of-thought, few-shot, etc.). Experience with Azure and related AI Services **Preferred Skills**: Proven expertise in setting up and training large language models (BERT, GPT, etc.) and other state-of-the-art neural networks. Knowledge of containerization and orchestration tools (e.g. Docker, Kubernetes). Familiarity with big data technologies (e.g. Apache Spark). **For ML Engineer**: Previous experience in deploying machine learning models in production environments. **Of course, “foundational” skills are required**: Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Machine Learning, or a related field. **For ML Engineer**: Proven experience in developing and deploying machine learning models, with a focus on natural language processing. **For ML Engineer**: Proficiency in programming languages such as Python, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of data structures, algorithms, and statistical modeling. Solid understanding of software engineering principles and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Beneficios **Home Office - 100% Remoto Contractor - Salario en USD Horario**: lunes a viernes. 8hs diarias. Espacio de trabajo en edificios Regus Regalo de cumpleaños Regalo por matrimonio Regalo por nacimiento de hijos Descuentos en capacitaciones Facilidad de compra de hardware Sumate a Nuestro Equipo

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