Data Scientist

2 weeks ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

AI Engineer Role Summary

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  • This is a senior-level position that requires expertise in AI/ML frameworks, cloud platforms, and API development.
  • The ideal candidate will have a strong background in software engineering and experience with automation tools.
">

Key Responsibilities:

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  • Achieving AI-Driven Solutions: Design, develop, and maintain AI systems fully integrated into our inventory management platform.
  • Cloud Platform Expertise: 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 facilitating 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 providing 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 applying new knowledge to enhance our solutions.
">

Requirements:

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  • 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 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 the ability to explain technical challenges and solutions to non-technical stakeholders.
">

We Offer:

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  • Competitive Compensation: Attractive compensation package including performance-based bonuses.
  • Flexible Work Arrangements: Options for remote work and flexible hours to support work-life balance.
  • Professional Growth: 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 Advancement: A chance to make a tangible impact in a fast-growing company at the forefront of predictive inventory management.
"]}],

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