Data-Driven AI Specialist

4 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Senior AI Engineer Position

You will play a critical role in developing programmatic solutions that support our AI-driven inventory management platform.

  • Design, develop, and maintain the architecture of AI systems fully integrated into predictive inventory planning.
  • Lead the deployment of AI models and algorithms on cloud platforms, primarily Azure, ensuring efficient, secure, and scalable systems.
  • Develop and optimize APIs to integrate AI models into inventory planning tools, ensuring smooth communication between software components.
  • Build and manage scalable data pipelines that facilitate seamless data ingestion, processing, and integration for model training and inference.
  • Develop automated processes for model retraining, updates, and deployment in a high-availability production environment.
  • Integrate AI-powered features into SaaS platform, contributing to new functionalities that provide clients with actionable insights on inventory management and demand forecasting.
  • Work alongside software engineers, product managers, and operations teams to ensure alignment between AI capabilities and business needs.
  • Stay ahead of the curve by monitoring the latest developments in AI, cloud computing, and machine learning, and applying new knowledge to enhance solutions.
Key Requirements
  • Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
  • Professional Experience: At least 5+ years of experience in AI engineering with focus on cloud deployment, automation, and API development.
  • Programming & Technical Skills:
    • Expertise in Python and hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
    • Strong proficiency in cloud platforms, particularly Azure, for deploying and scaling AI services.
    • Solid experience in developing APIs using RESTful or GraphQL services.
    • Experience with infrastructure-as-code tools (Terraform, Kubernetes) and automation frameworks.
  • Pipeline Management: Strong knowledge of building and managing scalable data pipelines using tools such as Apache Airflow, Kafka, or AWS Glue.
  • SaaS & API Expertise: Experience in developing and integrating APIs within SaaS applications, emphasizing system reliability, performance, and security.
  • Problem-Solving Skills: Ability to troubleshoot complex systems and optimize performance in production environments.
  • Communication Skills: Strong communication skills, with ability to explain technical challenges and solutions to non-technical stakeholders.
Benefits and Opportunities
  • Competitive Compensation Package: Includes performance-based bonuses.
  • Flexible Work Arrangements: Options for remote work and flexible hours to support work-life balance.
  • Professional Development: Opportunities for continuous learning, including conference sponsorships and access to exclusive educational resources.
  • Comprehensive Health Coverage: Health, dental, and vision insurance, along with wellness programs.
  • Career Growth: Chance to make a tangible impact in a fast-growing company at the forefront of predictive inventory management.

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