**Compensation**: COP 14M - 17M/month. + Health insurance **Location**: Hybrid (Parque de la 93, Carrera 11a, Bogotá, Bogota, Colombia). **Mission of Fifthwall Solutions**: "We are a group of cybersecurity, technologists, producers, and risk professionals that simply live to crush the acts and motives of cyber criminals. We stand strong today so that your Insureds are protected tomorrow.” - You have **2+ years of experience** in AI (Artificial intelligence), and Machine learning. - You are **beginner **in CI/CD, data engineering, software development, and software engineering. - **English**: - Fully fluent. **Responsibilities and more**: We are seeking an AI/ML Engineer focused on managing and optimizing operational AI/ML pipelines. This role emphasizes the deployment, management, and scaling of AI solutions, with a particular focus on maintaining high-performance systems. You will work with tools like LangChain, Retrieval-Augmented Generation (RAG), and fine-tuning techniques to ensure our models perform optimally under real-world conditions. Experience in model training is a plus but not required; the primary responsibility is to ensure that our models and pipelines are reliable, efficient, and production-ready. Key Responsibilities - Develop, deploy, and maintain high-throughput AI/ML pipelines, focusing on stability and scalability. - Use tools like LangChain to streamline operational workflows and automate tasks within the AI ecosystem. - Implement Retrieval-Augmented Generation (RAG) techniques to enhance data retrieval and improve model performance. - Fine-tune existing models to meet specific requirements and maintain model accuracy in production environments. - Collaborate with data engineers, software engineers, and other team members to optimize data flow and enhance pipeline performance. - Monitor and troubleshoot issues in production, ensuring mínimal downtime and high availability. - Document processes, best practices, and operational strategies for AI/ML pipeline management. **Qualifications**: - Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent work experience. - 2+ years of experience managing and deploying AI/ML models in production. - Familiarity with MLOps principles and tools for automating and scaling AI workflows. - Ability to work collaboratively in a fast-paced, dynamic environment. Nice-to-Have - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. - Familiarity with model training techniques and frameworks like PyTorch, TensorFlow, etc. - Exposure to large language models and fine-tuning processes. **Job benefits**: - (US) Health, Dental, Vision, Life, and Disability Insurance - (Non-US) Health Insurance - Unlimited Time Off - Flexible working hours