AI is finding it's way in a wide variety of applications pertaining to almost every industry. This AI driven rapidly evolving landscape has created a demand for a unique blend of technical, creative, and interpersonal skills highly sought-after by employers. Listed below are some specialized AI-related skills that are becoming increasingly valuable in the modern times. 1. AI Models Development Understanding how AI and ML work including the underlying algorithms, and learning to develop ML powered apps using tools like TensorFlow or PyTorch is a highly desirable skill to master in the age of AI. Furthermore, the skills in fine-tuning and adapting large pre-trained models (like GPT, BERT, or Vision Transformers) to specific use cases are also useful, allowing you to create specialized applications without starting from scratch. Leveraging pre-trained models and adapting them to new tasks with limited data is particularly useful in NLP and computer vision. 2. AI Models Deployme...
Safety-critical systems are those whose failure can result in severe harm to people, property, or the environment. As such, their development necessitates adherence to stringent engineering practices and compliance with rigorous regulatory standards, such as DO-178C (aerospace), ISO 26262 (automotive), IEC 61508 (industrial), and IEC 62304 (medical devices). These systems are predominantly found in domains such as aerospace, automotive, healthcare, and industrial automation. They typically follow structured and plan-driven development lifecycles, most often based on the V-model. Development in this context is characterized by comprehensive documentation, multiple big teams, thorough verification and validation, and extended release cycles to manage complexity and ensure safety assurance. Meanwhile, Agile methodologies have gained widespread acceptance across many areas of software development, offering benefits such as increased adaptability, faster feedback loops, and enhanced stakeho...