iRecharge Tech-Innovations is an internet-powered distribution platform that enables users to purchase virtual products and services such as airtime and mobile data, internet subscriptions, pay-TV, and Bulk SMS.
Job Overview:
- We are seeking a highly creative and technically skilled AI Engineer to drive innovation and reshape the future of our products. This role goes beyond conventional development; we need an individual who can conceptualize, build, and implement AI-driven solutions that redefine our business offerings. We are looking for a disruptor who can extend our impact beyond traditional applications into new frontiers of AI, automation, and intelligent systems.
Key Responsibilities:
- Research & Innovation: Spearhead the development of next-gen AI-driven solutions that enhance business operations, customer experiences, and product scalability.
- Product Evolution: Identify opportunities to integrate AI/ML and automation into our existing and future product roadmap.
- Prototyping & Implementation: Rapidly prototype new AI-driven products that can be tested and scaled efficiently.
- AI & Machine Learning Models: Develop, train, and deploy ML models for automation, predictive analytics, and decision-making.
- Interdisciplinary Collaboration: Work closely with software engineers, product designers, and business teams to create high-impact AI solutions.
- Exploring Unconventional Tech: Stay ahead of trends, testing and implementing innovative AI solutions where applicable.
- Security & Data Management: Ensure robust security, privacy, and compliance standards for AI-driven products.
Qualifications & Experience:
- Bachelor's or Master’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field.
- Proven experience in AI/ML development.
- Strong background in programming (Python, C++, Rust, Go, or Node.js) with a deep understanding of AI frameworks (TensorFlow, PyTorch, OpenCV).
- Hands-on experience with AI-powered automation, predictive analytics, NLP, and large language models (LLMs).
- Ability to challenge existing paradigms and develop bold, transformative solutions.
Nice-to-Have Skills:
- Experience in applying AI to fintech, IoT, robotics, healthcare, or other innovative domains.
- Experience in Generative AI models and large language models (LLMs).
- Knowledge of real-time sensor data processing and edge computing.
Method of Application
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