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Are you actively seeking for a new job role? Well, you are at the right place! We’re looking for a skilled Machine Learning Expert to join our team and enhance our AI-driven information systems. The ideal candidate will develop intelligent models that optimize database queries and improve our robotics dialogue flow, enabling natural voice-based interactions between users and our robot. This role involves working with large datasets, implementing AI-powered solutions, and collaborating with cross-functional teams to bring cutting-edge machine learning innovations into our systems.

Key Responsibilities:

• Design, develop, and optimize machine learning models for database query automation and voice-based interactions.
• Enhance the robotic dialogue flow by implementing NLP (Natural Language Processing) models for seamless user communication.
• Work with SQL and NoSQL databases to improve query efficiency and response time using AI-driven approaches.
• Develop speech recognition and text-to-speech models to facilitate natural voice interactions.
• Implement predictive analytics and recommendation systems to enhance user experience..
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.
• Train and fine-tune deep learning and reinforcement learning models for adaptive conversation flows.
• Monitor model performance, troubleshoot issues, and continuously refine algorithms.

Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP frameworks such as spaCy, NLTK, or OpenAI GPT models.
• Knowledge of speech recognition technologies like DeepSpeech or Google Speech-to-Text API.
• Experience with database management and AI-driven query optimization.
• Familiarity with robotics frameworks such as ROS (Robot Operating System) is a plus.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication abilities.

Preferred Qualifications:

• Experience in deploying AI models to production using Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.
• Understanding of edge AI for deploying models on embedded systems or robotics hardware.