![QpiAI](https://media.trabajo.org/img/noimg.jpg)
AI and Machine Learning Trainer
4 weeks ago
At QpiAI, we are making AI and quantum computing solutions available to enterprise customers in the finance, logistics, pharmaceuticals, materials, space, telecommunication, automotive, and energy industry. We have a dedicated education and upskilling program targeted to academia and industry, QpiAI-Explorer. We are seeking a skilled and hands-on AI engineer to join our Education and Solutions team.
Responsibilities:
- Responsible for developing courses in undergraduate- and graduate-level training in AI, machine learning, data science, decision optimization.- Responsible for creating course content, texts, videos, assignments, technique-driven projects, use-case driven projects, and interactive playgrounds.- Conduct live lectures, webinars, doubt clearing sessions, special lectures, paper presentations, code walkthroughs, and hands-on coding sessions.- Build long-term academic and industry partnerships in India and abroad.- Participate in national and international conferences and workshops in AI, genAI, and machine learning.
Required Skills and Experience:
- Strong theoretical, implementation and practical (applied) skills in the following:- Mathematical foundations of AI, ML, deep learning, data science- Modern neural architectures, optimizations, learning techniques- Novel learning methods for limited-data or compute-limited scenarios- Graph neural networks and large-scale graph machine learning- Transformer architectures and applications in language and vision- Physics-inspired deep learning and diffusion models- Modern LLM optimization techniques, compression, quantization- Scientific and industrial applications of AI- Exposure to next-gen futuristic research in AI based planning, reasoning, agent-based automations, and quantum computing
- Ability to elucidate complex mathematical and abstract ideas into easy to grasp concepts while maintaining mathematical rigor and consistency.- Ability to formulate mathematical models from real world problems and data.- Ability to convert concepts into programmable models and algorithms into code.- Ability to define programming assignments and data- or model-driven projects- Experience with curriculum development, pedagogical methods, research.- Strong communication skills to coordinate with various stakeholders including academicians, corporate executives, students, and government officials.
Qualifications:
- MS/Ph.D. in AI, ML, Mathematics, Computer Science, Electrical Engineering, or any other intersecting area, with 2+ years of academic or industry research experience in developing AI solutions for real-world problems.- Ability to implement solutions to real world computational problems or use cases using QpiAI proprietary libraries and other open source ML packages.- Ability to contribute code to development of libraries, codebases, and integrators for quantum system-level software and application-level software.- Excellent track record in AI or Machine Learning research demonstrated by peer-reviewed publications, patents, and independent or collaborative projects.- Strong understanding of AI/ML applications in industrial automation, robotics, self driving cars, pharmaceuticals and materials, logistics, supply chain management, financial services, retail, digital commerce, and other sectors
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