AI Systems Engineer

4 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

Job Title: Senior AI Engineer

About the Role:

We are seeking an experienced Senior AI Engineer to join our team. As a key member of our engineering team, you will play a critical role in developing programmatic solutions that support our AI-driven inventory management platform.

Responsibilities:

  • AI System Architecture: Design, develop, and maintain the architecture of AI systems that are fully integrated into our predictive inventory planning platform.
  • Cloud Deployment: Lead the deployment of AI models and algorithms on cloud platforms, ensuring efficient, secure, and scalable systems.
  • API Development and Integration: Develop and optimize APIs to integrate AI models into our inventory planning tools, ensuring smooth communication between software components.
  • Data Pipeline Management: Build and manage scalable data pipelines that facilitate seamless data ingestion, processing, and integration for model training and inference.
  • Automation & Scalability: Develop automated processes for model retraining, updates, and deployment in a high-availability production environment.
  • SaaS Platform Enhancement: Integrate AI-powered features into our SaaS platform, contributing to new functionalities that provide clients with actionable insights on inventory management and demand forecasting.
  • Cross-functional Collaboration: Work alongside software engineers, product managers, and operations teams to ensure alignment between AI capabilities and business needs.
  • Continuous Improvement: Stay ahead of the curve by monitoring the latest developments in AI, cloud computing, and machine learning, and applying new knowledge to enhance our solutions.

Requirements:

  • Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
  • Professional Experience: At least 5+ years of experience in AI engineering with a focus on cloud deployment, automation, and API development.
  • Programming & Technical Skills:
    • Expertise: Expertise in Python and hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
    • Cloud Platforms: Strong proficiency in cloud platforms, particularly Azure, for deploying and scaling AI services.
    • API Development: Solid experience in developing APIs using RESTful or GraphQL services.
    • Infrastructure-as-Code: 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 the ability to explain technical challenges and solutions to non-technical stakeholders.

Benefits:

  • Competitive Salary: Attractive compensation package, including 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: A chance to make a tangible impact in a fast-growing company at the forefront of predictive inventory management.

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