AI Engineer at iRecharge Tech-Innovations

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.