Artificial Intelligence Engineer

Description

Job Summary: Design, develop, implement, and maintain advanced artificial intelligence solutions focused on computer vision models, optimizing and deploying models in production environments. Key Highlights: 1. Computer vision model design and optimization 2. MLOps process implementation and cloud deployment (GCP) 3. Container management with Docker and Kubernetes **Job Description** ---------------------- Design, develop, implement, and maintain advanced artificial intelligence solutions, with a focus on computer vision models. Key Responsibilities Design, train, and optimize computer vision models, including classification, object detection, and segmentation tasks. Build and maintain model training, validation, and deployment pipelines. Implement MLOps processes including model versioning, experiment traceability, performance monitoring, and drift management. Deploy models in production environments using cloud infrastructure (GCP), ensuring scalability and efficiency. Automate continuous integration and continuous deployment (CI/CD) processes for machine learning solutions. Manage containers and service orchestration using Docker and Kubernetes. Ensure data and model quality through defined testing, validation, and control mechanisms. Integrate AI solutions with existing systems and corporate data sources. **Candidate Requirements** -------------------------- * Professional degree in Engineering (Systems, Electronics, Mathematics, Statistics, or related fields). * Experience in model optimization (latency, computational cost, scalability). * Knowledge of microservice architectures. * Experience with data streaming or real-time processing. * Proficiency in data versioning tools (DVC or others). * Python and machine learning/deep learning libraries (TensorFlow, PyTorch, Scikit\-learn). * Experience with cloud platforms: Google Cloud Platform (GCP). * Knowledge of supervised, unsupervised, and reinforcement learning techniques. * Familiarity with MLOps tools (MLflow, Vertex AI, Kubeflow, or equivalent). * Experience in retail or logistics environments. This opportunity is open to persons with disabilities. **Selection Process** ------------------------ The selection process is conducted via Aira \- a recruitment platform designed to enhance your application experience. To apply, you only need: 1\. Apply to the position 2\. Check your email 3\. Log in to Aira and respond to the requested questions and/or assessments Then, if your profile matches our requirements, we will contact you by email (via Aira) to proceed to the in-person stage. **About Us** ------------------ We are over 88,000 people who work every day toward our firm Purpose \- Simplify and Enjoy Life More. We operate in 9 countries and comprise five major brands across diverse industries: Falabella Retail, Sodimac, Banco Falabella, Tottus, and Mallplaza. Each of these brands defines who we are, and together—as One Team—we strive daily to reinvent ourselves and exceed our customers’ expectations. A team full of dreams that makes things happen. We dare to launch and innovate, take risks, and create opportunities that keep us at the forefront—driving us to reinvent ourselves to deliver the best shopping experience at every touchpoint with us.