Job Summary: Develop, deploy, and maintain Artificial Intelligence solutions, transforming data into intelligent solutions and putting ML/DL models into production. Key Highlights: 1. Development and optimization of Machine Learning and Deep Learning models 2. Work with NLP, computer vision, and generative models (LLMs) 3. Implementation of inference pipelines and automation of models in production ### **Job Mission:** Develop, deploy, and maintain **Artificial Intelligence solutions**, ensuring technical quality, scalability, performance, and alignment with defined business objectives, timelines, and costs. Responsible for transforming data into intelligent solutions and putting **Machine Learning and Deep Learning models into production**, following best practices in engineering and architecture. ### **Main Responsibilities:** * Develop, train, evaluate, and optimize **Machine Learning and Deep Learning models** * Integrate AI models with **APIs, services, and web/mobile applications** * Work with **NLP, computer vision, and/or generative models (LLMs)** * Perform **data preprocessing, cleaning, and feature engineering** on large volumes of data * Implement **inference pipelines and automation** of models in production * Monitor **performance, accuracy, and costs** of deployed models * Collaborate with **product, backend, frontend, and data teams** * Document technical solutions and architectural decisions * Propose continuous improvements in **models, performance, and scalability.** ### **Academic Qualifications:** * **Completed Bachelor’s degree** in Systems Development, Information Systems, or related fields * **Postgraduate degree or MBA** in AI Solutions (practical and theoretical, analysis and implementation) – **desirable.** ### **Languages:** * **English required** * Spanish desirable. ### **Required Technical Skills:** * Solid experience with **Python** * AI/ML libraries: **TensorFlow, PyTorch, Scikit-learn** * **Pandas, NumPy** * Experience with **LLMs, NLP, or Computer Vision** * Model integration via **REST APIs** * **SQL and/or NoSQL databases** * Experience with **Cloud platforms (AWS, GCP, or Azure)** * Familiarity with **MLOps** (model deployment, versioning, and monitoring) * Containers (**Docker**) and **CI/CD pipelines.** ### **Preferred Qualifications:** * Experience with **generative models** (LLMs, OCR, image classification) * Managed AI services: **AWS Bedrock, SageMaker, Vertex AI, Azure ML** * Knowledge of **LangChain, RAG, embeddings, and vectorization** * Experience with **image processing and OCR** * Experience in **B2B SaaS products** * Knowledge of **Angular, React, or frontend integration** * Experience with **large-scale data and distributed systems.**