Job Title : AI Engineer
Location : 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.