Get AI-powered advice on this job and more exclusive features. As a AI Engineer, you will design, develop, and implement AI models and systems to support our business objectives. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver scalable and efficient AI-driven solutions. This role requires a solid foundation in machine learning, programming, and problem-solving, with an emphasis on practical application and innovation. Key Responsibilities: •Design, develop, and optimize machine learning models and algorithms for [specific applications, e.g., natural language processing, computer vision, predictive analytics]. •Implement AI solutions using frameworks such as TensorFlow, PyTorch, or scikit-learn. •Collaborate with data scientists to preprocess, analyze, and transform large datasets for model training. •Deploy and maintain AI models in production environments, ensuring scalability and performance. •Conduct experiments to evaluate model performance and iterate on improvements. •Write clean, maintainable, and well-documented code following best practices. •Stay updated on the latest AI/ML research, tools, and technologies to propose innovative solutions. •Work with cross-functional teams to integrate AI models into existing systems or products. •Troubleshoot and resolve issues related to AI model performance and deployment. •Contribute to the development of internal tools and pipelines to streamline AI workflows. Qualifications: •Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. •3-5 years of experience in AI, machine learning, or software engineering roles. •Proficiency in programming languages such as Python, R, or Java. •Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). •Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, neural networks). •Experience with data preprocessing, feature engineering, and model evaluation techniques. •Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment is a plus. •Knowledge of software development practices, including version control (Git), testing, and CI/CD pipelines. •Strong problem-solving skills and ability to work independently or in a team environment. •Excellent communication skills to explain complex technical concepts to non-technical stakeholders. Preferred Skills: •Experience with deep learning techniques (e.g., CNNs, RNNs, transformers). •Familiarity with big data tools (e.g., Hadoop, Spark) or databases (SQL, NoSQL). •Knowledge of MLOps practices for model monitoring and maintenance. •Exposure to [specific domain, e.g., NLP, computer vision, reinforcement learning] is a plus. •Contributions to open-source AI/ML projects or publications in relevant fields. Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Resourcee by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 8 hours ago Medellin, Antioquia, Colombia 2 months ago Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 22 hours ago Bogota, D.C., Capital District, Colombia 6 days ago Artificial Intelligence Full Stack Engineer Colombia $18,000.00-$36,000.00 1 month ago Bogota, D.C., Capital District, Colombia 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr