Artificial Intelligence Engineer

Company Description Chitta Group is a technology-focused organization committed to leveraging advanced data and AI solutions to solve complex real-world problems. The company emphasizes innovation, collaboration, and practical impact, building products and systems that improve decision-making and operational efficiency across industries. Team members work in an environment that values continuous learning, ethical technology development, and measurable results. Chitta Group offers opportunities to work with cutting-edge tools and methodologies while contributing to scalable, high-performance AI solutions. The organization encourages diverse perspectives and inclusive practices to drive better outcomes for clients and communities.

Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI models and systems that address a variety of business and technical challenges. Day-to-day responsibilities include researching and implementing algorithms, building and training machine learning and neural network models, and integrating these models into production-ready software solutions. The role involves collaborating with data scientists, software engineers, and product stakeholders to define requirements, optimize model performance, and ensure reliability and scalability. The engineer will also be responsible for maintaining documentation, monitoring system performance, and continuously improving existing AI pipelines. This is a full-time, on-site role based in the Hanoi Capital Region.

Qualifications

• Strong foundation in Computer Science and Software Development, including algorithms, data structures, and programming in languages such as Python, Java, or C++.
• Applied experience with Pattern Recognition and Neural Networks, including model design, training, evaluation, and optimization.
• Hands-on experience with Natural Language Processing (NLP), such as text classification, entity recognition, and language modeling.
• Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and modern development tools (e.g., Git, CI/CD pipelines).
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Ability to work collaboratively in cross-functional teams, communicate complex technical concepts clearly, and document solutions effectively.
• Experience with cloud platforms (e.g., AWS, Azure, GCP), data processing frameworks, and MLOps practices is a plus.
• Commitment to responsible AI practices, including data privacy, fairness, and reliability in AI systems.