AI Research & Development Engineer

Company Description Toadfly Technologies is an innovative industrial software organization specializing in adaptable and user-friendly solutions for efficient project management. Headquartered in Houston, TX, with an international presence, Toadfly has deep roots in the oil and gas industries, offering tailored software packages with dynamic customer support. The company’s cutting-edge products streamline processes, reduce costs, and enhance bottom-line results for clients globally. Toadfly is dedicated to providing customizable solutions that drive businesses forward and enhance operational efficiency in industries such as oil and gas.

Role Description This is a full-time, on-site role for an AI Research & Development Engineer located in Kochi. The role involves leading research and development projects, designing and conducting testing procedures, and contributing to the development of new AI-driven products. The engineer will collaborate with cross-functional teams to translate ideas into practical solutions and contribute to advancing Toadfly’s innovative software offerings to meet client-specific needs.

Key Responsibilities Conduct research in artificial intelligence, machine learning, and deep learning. Design, develop, and train AI/ML models for real-world applications. Analyze large datasets and perform data preprocessing and feature engineering. Implement algorithms using Python and AI frameworks. Test, validate, and optimize model performance. Collaborate with software, data, and product teams to deploy AI solutions. Stay updated with the latest AI research, tools, and technologies. Document research findings and technical processes. Required Skills & Qualifications Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field. Strong knowledge of machine learning, neural networks, and statistics. Programming experience in Python. Experience with ML libraries such as TensorFlow, PyTorch, or Scikit-learn. Understanding of data structures, algorithms, and model evaluation. Good analytical and problem-solving skills. Preferred Qualifications Experience in NLP, Computer Vision, or Generative AI. Knowledge of cloud platforms and model deployment. Research publications or AI project portfolio. Experience 2–3 years of relevant AI/ML experience.