AI / Machine Learning Enginr

🌟 We're Hiring: AI / Machine Learning Engineer📍 Location: United Arab Emirates (Remote)🕒 Employment Type: Part-Time💼 Experience Level: Mid-Level to Senior🌐 Work Arrangement: Fully RemoteAbout UsWe are a technology-driven organization focused on applying artificial intelligence, machine learning, and data-driven innovation to solve real-world business challenges. Our team values technical excellence, responsible AI development, creative problem-solving, and continuous learning. We aim to turn complex data into practical solutions that improve efficiency, enhance digital experiences, and create measurable business value.The RoleWe are seeking a technically skilled AI / Machine Learning Engineer to design, develop, evaluate, and optimize intelligent systems. In this part-time remote role, you will contribute to machine learning model development, data preparation, algorithm testing, and the integration of AI capabilities into applications and business workflows.Working with engineering, data, and product stakeholders, you will help translate business requirements into scalable AI solutions. The ideal candidate combines strong programming skills with analytical thinking and a commitment to building reliable, maintainable, and responsible machine learning systems.Key ResponsibilitiesDesign, develop, and evaluate machine learning models for prediction, classification, recommendation, and other practical applications.Collect, clean, transform, and analyze datasets to support model training and evaluation.Apply appropriate statistical techniques, algorithms, and machine learning methods to solve business problems.Build and maintain data pipelines and reusable workflows for model development and experimentation.Evaluate model performance using relevant metrics and recommend improvements based on testing results.Develop clean, maintainable code and document experiments, model configurations, and implementation procedures.Integrate AI and machine learning components into existing applications, APIs, and business processes.Support model testing, deployment, monitoring, troubleshooting, and performance optimization.Explore emerging developments in generative AI, deep learning, and related technologies to identify useful applications.Collaborate with cross-functional teams to clarify requirements and communicate technical findings.Identify data quality issues, model limitations, and potential risks, including bias, reliability, and security concerns.Follow responsible AI practices and contribute to scalable, secure, and maintainable solutions.RequirementsAt least 3 years of relevant experience in AI engineering, machine learning, data science, or software development preferred.A bachelor's degree or equivalent qualification in Computer Science, Data Science, Mathematics, Engineering, or a related field preferred.Proficiency in Python and familiarity with libraries such as scikit-learn, PyTorch, or TensorFlow.Understanding of machine learning algorithms, statistical concepts, data preprocessing, and model evaluation.Experience working with datasets, data pipelines, and model experimentation.Familiarity with APIs, version control, and software development best practices.Knowledge of cloud-based AI services, model deployment, or MLOps practices is an advantage.Strong analytical thinking, problem-solving skills, and attention to detail.Effective communication skills and the ability to collaborate with distributed teams.Ability to work independently, organize tasks, and deliver results within agreed timelines.Professional certifications are welcome but not mandatory.What We OfferFlexible part-time work in a fully remote environment.Opportunities to contribute to practical AI and machine learning initiatives.A collaborative culture that encourages experimentation, innovation, and technical excellence.Opportunities to expand expertise in model development, AI integration, and emerging technologies.A professional environment focused on responsible innovation, continuous learning, and measurable impact.