Job Description: Artificial intelligence is transforming the world, and in this journey of innovation, we need a key talent to help us build intelligent solutions that truly make an impact. We are looking for a Machine Learning Engineer, a professional passionate about generative AI, capable of transforming concepts into functional realities. This position is not just technical; it is strategic. You will bridge theory and practice, working with generative models and vector databases to create intelligent agents that solve real-world problems. This role is essential for our client, a technology company advancing its solutions through the integration of advanced AI. If you are excited about developing technology that learns, adapts, and evolves continuously, this is your opportunity. Responsibilities: In this role, you will drive the transformation of data into practical, scalable solutions. 1. Model Development and Training: Develop generative AI agents using frameworks like LangChain or CrewAI, integrating advanced techniques such as RAG (Retrieval-Augmented Generation). Implement workflows to automate complex tasks, from data ingestion to prediction and decision-making. 2. Data Preprocessing and Management: Build and optimize data pipelines using Python, Bash, and SQL, ensuring high-quality and consistent datasets. Implement and query vector databases, such as FAISS, ChromaDB, or Pinecone, facilitating efficient information retrieval in generative AI environments. Develop and maintain large-scale data processing systems with low-latency performance. 3. Deployment and Implementation: Deploy models and AI agents in production environments, leveraging cloud services like AWS Lambda, S3, RDS, and API Gateway. Integrate models into applications via APIs, ensuring scalability and availability. Apply DevOps practices, including CI/CD automation for Software development. 4. Evaluation and Monitoring: Continuously evaluate model performance using objective metrics, such as precision, recall, and F1 score. Monitor production models to identify bias, performance degradation, and retraining needs. 5. Optimization and Maintenance: Optimize model architecture to improve efficiency and reduce resource consumption. Implement advanced techniques such as quantization, pruning, and parallelization, enhancing inference times and scalability. Ensure code integrity using Git, applying best practices for version control and collaboration. 6. Collaboration and Communication: Collaborate closely with Data Scientists, Software Engineers, and business teams to translate requirements into technical solutions. Document models, workflows, and processes, ensuring project traceability and reproducibility. Participate in ideation sessions and present results, continuously proposing improvements based on data insights. Required Skills: Languages: Python, Bash, and SQL. Frameworks: LangChain or CrewAI, with expertise in RAG techniques. Databases: FAISS, OpenSearch, Pinecone. Cloud: Advanced experience with AWS (Lambda, S3, RDS, API Gateway). Version Control: Git, following best practices for branching strategies. Model Evaluation: Proficient in implementing objective metrics to assess model performance. Critical thinking and problem-solving mindset. Ability to iterate quickly and test solutions based on data insights. Autonomy, proactivity, and strong technical communication. Habilidades Python SQL LangChain CrewAI RAG techniques FAISS OpenSearch Pinecone AWS Version Contro ¡Ten cuidado con el fraude! Magneto y sus empresas aliadas nunca te pedirán dinero a cambio en un proceso de selección. Ten cuidado, revisa bien la vacante y si ves algo sospechoso repórtalo. Requisitos para aplicar a la vacante: Experiencia: 1 año de experiencia Nivel de estudios: Profesional hasta Doctorado Salario: $ 13.800.000 Aplicar Compartir vacante en: Empleos similares: Búsquedas de empleo más frecuentes Ver Más (27) Síguenos: Magneto Global S.A.S, todos los derechos reservados Personas Crear cuenta Magneto Corporativos Magneto Negocios Otras soluciones Legal Vinculado a la red de prestadores del Servicio Público de Empleo. Autorizado por la Unidad Administrativa Especial del Servicio Público de Empleo según