Job Title: AI EngineerLocation: Secondment in Bahrain (Onsite) Job Summary Our client is seeking a highly skilled and innovative AI Engineer to join the growing team. In this role, you will be instrumental in designing, developing, and deploying AI-powered solutions that integrate seamlessly with various APIs. Job Responsibilities - Design, develop, and deploy AI models and intelligent agents (e.g., voice agents, conversational AI, task automation agents) that can understand complex instructions and execute corresponding actions. - Integrate AI models and agents with internal and third-party APIs, ensuring robust, scalable, and secure data exchange. - Develop and manage data pipelines to ingest, process, and clean data from various sources, including feeds APIs, for training and deployment of AI models. - Implement natural language processing (NLP) and speech-to-text/text-to-speech technologies for voice-enabled agents. - Work closely with product managers, data scientists, and other engineers to define AI solution requirements and translate them into technical specifications. - Optimize AI models for performance, scalability, and efficiency in production environments. - Monitor, maintain, and troubleshoot deployed AI systems to ensure continuous operation and high accuracy. - Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies. - Document technical designs, development processes, and operational procedures. Requirements: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. - 2+ years of professional experience in AI/ML engineering, software development with an AI focus, or a similar role. - Proficiency in programming languages such as Python (essential), Java, or C++. - Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. - Experience with API design, development, and integration (RESTful APIs, GraphQL). - Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy). - Experience with implementing speech-to-text and voicemail functionality in AI systems is a must. - Strong problem-solving skills and the ability to debug complex systems. - Excellent communication and collaboration skills. Preferred Qualifications - Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. - Proficiency in implementing and utilizing Azure OpenAI APIs. - Prior experience building and deploying conversational AI or voice agents. - Knowledge of message queues and streaming data technologies (e.g., Kafka, RabbitMQ). - Familiarity with MLOps practices for model deployment, monitoring, and lifecycle management. - Experience with containerization technologies (Docker, Kubernetes). - Contributions to open-source AI projects or a strong portfolio of personal AI projects.