Artificial Intelligence Engineer

Job Title: AI Engineer About Kumaran Systems Kumaran Systems is a global technology solutions provider delivering innovative IT services and digital transformation solutions to clients worldwide. We foster a collaborative, growth-driven work culture and offer employees opportunities to work on global assignments, enabling both professional and personal development. Role Overview We are seeking a highly skilled AI/ML Engineer with strong expertise in Retrieval-Augmented Generation (RAG) systems that can integrate with various data sources, including but not limited to relational databases, NoSQL databases, and cloud-based storage solutions. The ideal candidate should have hands-on experience with deep learning frameworks such as TensorFlow or PyTorch, and be familiar with popular AI/ML libraries like scikit-learn, OpenCV, or Keras. Additionally, the successful candidate will possess strong programming skills in languages like Python, Java, or C++, and be proficient in data preprocessing, feature engineering, and model evaluation techniques. The role requires a deep understanding of AI/ML concepts, including but not limited to natural language processing (NLP), computer vision, and reinforcement learning. We are looking for an innovative thinker who can design, develop, test, and deploy AI-powered solutions that drive business value and improve customer experiences. Key Responsibilities: Design, develop, test, and deploy AI-powered solutions using RAG systems; Collaborate with cross-functional teams to integrate AI/ML models into existing applications; Develop and maintain high-quality AI/ML codebases; Participate in code reviews and ensure adherence to coding standards; Stay up-to-date with the latest advancements in AI/ML research and development; Mentor junior engineers and contribute to knowledge sharing within the team. What We Offer: Competitive salary and benefits package; Opportunities for professional growth and career advancement; Collaborative work environment that fosters innovation and creativity; Flexible working hours and remote work options; Access to cutting-edge technologies and tools; Professional training and certification programs; Recognition and rewards for outstanding performance.