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Careers at Aidon

Aidon Limited is committed to a significant expansion of its remote workforce, embracing a global talent acquisition strategy to onboard highly skilled professionals from around the world. This initiative reflects our dedication to diversity and inclusion, recognizing that a variety of perspectives fuels innovation and excellence. By tapping into a vast pool of international talent, Aidon aims to bolster its team with individuals who bring unique skills, experiences, and cultural insights. This approach not only enhances our capability to serve a diverse client base but also fosters a dynamic, collaborative, and forward-thinking work environment driving our mission forward.

Artificial Intelligence Software Developers 

Aidon Limited, the creator of the generative artificial intelligence software application, Aidon.ai, is looking for ambitious and talented artificial intelligence software developers with some or all of the following skill sets:

Required Skills

  • Educational Background: A strong educational foundation in computer science, data science, artificial intelligence, or a related field is typically necessary. An advanced degree in AI is preferable.

  • Programming Skills: Proficiency in programming languages like Python, Java, or R is crucial. Python for its extensive libraries (such as TensorFlow, PyTorch, and Keras) that facilitate machine learning development.

  • Machine Learning and Deep Learning: A thorough understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning techniques is essential.

  • Data Management Skills: Skills in data processing, cleaning, and manipulation required. Familiarity with SQL and NoSQL databases, data warehousing solutions, and data visualization tools is also preferred.

  • Mathematics and Statistics: Strong knowledge of statistics, probability, linear algebra, and calculus is also necessary.

  • Problem-Solving and Analytical Skills: The ability to approach complex problems analytically and develop efficient, scalable solutions is key. This includes the capacity to adapt and learn new techniques or algorithms as needed.

  • Collaboration and Communication Skills: AI projects often require collaboration with other developers, data scientists, and stakeholders. Effective communication and teamwork skills are essential for translating technical details into understandable terms and collaborating effectively on projects.

  • Ethical and Legal Understanding: Awareness of the ethical implications and legal considerations surrounding AI, including data privacy, bias, and fairness, is also preferable

Microsoft Azure Cloud Specialists

Aidon Limited, the creator of the generative artificial intelligence software application, Aidon.ai, is looking for ambitious and talented Microsoft Azure cloud specialists with some or all of the following skill sets:

Required Skills

  • Educational Background:  A degree in computer science, information technology, or a related field is required. Relevant certifications, such as Microsoft Certified Azure Administrator Associate, Azure Developer Associate, or Azure Solutions Architect Expert are preferable.

  • Azure Experience: Hands-on experience with Azure services like Azure Virtual Machines, Azure SQL Database, Azure Active Directory, and Azure Kubernetes Service is crucial. 

  • Networking Knowledge: Understanding of networking fundamentals, including VPNs, DNS, virtual networks, and network security groups in Azure. Skills in setting up and managing Azure Load Balancer and Azure Gateway are required.

  • Security and Compliance: Knowledge of Azure security tools and features, such as Azure Security Center, Azure Identity and Access Management, and understanding of compliance standards relevant to the cloud (e.g., GDPR, HIPAA) are imperative.

  • Programming and Scripting Skills: Proficiency in scripting languages like PowerShell, Azure CLI, and possibly Python or .NET for automation of Azure tasks and integration of Azure services are important.

  • DevOps and Automation: Experience with Azure DevOps services and CI/CD pipelines. Familiarity with infrastructure as code tools like Azure Resource Manager (ARM) templates or Terraform is preferable.

  • Data Management and Analytics: Skills in managing and analyzing data using Azure services like Azure SQL Database, Azure Data Lake, Azure Cosmos DB, and Azure Synapse Analytics.

  • Cloud Migration: Experience with cloud migration strategies and tools, including Azure Site Recovery and Azure Migrate, for moving applications and data to Azure is necessary.

  • Cost Management: Ability to optimize and manage Azure costs, understanding Azure pricing and cost management tools.

  • Problem-Solving Skills: Strong analytical and troubleshooting skills, particularly in a cloud environment.

  • Communication and Collaboration Skills: Effective communication skills to work with cross-functional teams, including developers, system administrators, and business stakeholders.

  • Continuous Learning: A commitment to staying updated with the constantly evolving Azure platform and cloud technologies in general.

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