Artificial Intelligence Engineer

Company Description BRT AI ALGO is a technology company specializing in Artificial Intelligence solutions and embedded software development for business and industrial applications. The organization focuses on AI-driven automation, predictive analytics, and custom software integration to help clients optimize operations and enhance decision-making. Its work spans custom AI models, NLP, generative AI, industrial machinery control, IoT software, and data analytics with strong security considerations. BRT AI ALGO emphasizes scalable, secure, and tailored solutions that address specific industry challenges while bridging the gap between cutting-edge AI research and practical deployment. The company’s mission is to empower businesses with innovative AI technologies and its vision is to drive global, scalable impact through intelligent systems.
Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI models and systems that support business applications, industrial machinery control, and data-driven decision-making. Day-to-day responsibilities include building and training models for pattern recognition and neural networks, implementing NLP solutions, and integrating AI components into existing software and embedded platforms. The role involves collaborating with cross-functional teams to understand requirements, conducting experiments, optimizing model performance, and ensuring scalability, reliability, and security of AI solutions. The engineer will document methodologies, maintain code repositories, and contribute to continuous improvement of AI development practices. This is a full-time remote role.
Qualifications
Strong foundation in Computer Science and Software Development, including algorithms, data structures, and version control.
Proficiency in Pattern Recognition and Neural Networks, with experience training, evaluating, and deploying machine learning models.
Hands-on experience with Natural Language Processing (NLP), such as text classification, sentiment analysis, and language models.
Experience with AI and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages commonly used in AI (e.g., Python, C++).
Familiarity with embedded systems or IoT platforms, and integrating AI models into production environments is beneficial.
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) is an advantage.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field, or equivalent practical experience.
Ability to work independently in a remote setting, communicate clearly with technical and non-technical stakeholders, and manage multiple projects.

Work arrangement
Yes