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AI Engineer

AI Engineer

Leading EdgeKarachi, Pakistan
30+ days ago
Job description

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.
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