Artificial Intelligence Engineer

Company Description FDE School is an industry-focused learning institution dedicated to developing the next generation of Forward Deployed Engineers. The school prepares experienced software and technology professionals to work at the intersection of artificial intelligence, engineering, product, and real-world business problems. Programs emphasize practical application through hands-on projects, real-world problem solving, AI engineering, system design, deployment, and client-facing execution. Learners gain the skills to take technology from idea to implementation to production while collaborating with stakeholders to deliver measurable business impact. FDE School is built on the philosophy of “Learn. Build. Deploy.” and offers a dynamic environment for professionals who want to advance their AI and engineering careers.
Role Description The Artificial Intelligence Engineer is a full-time, on-site role based in Bengaluru, focused on designing, developing, and deploying AI solutions for practical, real-world applications. The role includes building and training models in areas such as pattern recognition, neural networks, and natural language processing, and integrating these models into production-grade software systems. The engineer will collaborate with product, engineering, and business stakeholders to understand problem statements, define requirements, and design scalable AI-driven solutions. Day-to-day responsibilities include data exploration, model experimentation, performance optimization, and system integration, as well as documenting workflows and best practices. The position also involves supporting learners and internal teams by sharing AI engineering expertise, contributing to project reviews, and helping refine the institution’s technical standards.
Qualifications
Strong foundation in Computer Science and Software Development, including algorithms, data structures, and software engineering best practices.
Experience with core AI domains such as Pattern Recognition and Neural Networks, with the ability to design, train, and evaluate models.
Hands-on expertise in Natural Language Processing (NLP), including text preprocessing, model building, and evaluation for language-based tasks.
Proficiency with modern AI/ML tools and frameworks (e.g., Python, PyTorch, TensorFlow, scikit-learn) and familiarity with MLOps concepts.
Ability to work with real-world datasets, perform data cleaning and feature engineering, and deploy models into production environments.
Strong problem-solving skills, stakeholder communication abilities, and experience working in cross-functional or client-facing teams.
Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Experience with cloud platforms (e.g., AWS, GCP, Azure), APIs, and containerization (Docker, Kubernetes) is an advantage.

Work arrangement
No