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AI Automation Engineer

Work Type:

Full Time

Experience Level:

Mid-level

Location:

Athens

About Us

HyperFlow Digital is a leading digital agency at the forefront of AI integrations, workflow automation, and digital transformation. We help businesses scale by implementing AI-driven solutions that streamline operations, optimize decision-making, and enhance productivity. Our clients span industries such as eCommerce, healthcare, travel, and finance, and we are looking for an AI Automation Engineer to help shape the future of intelligent automation.

Job Description

We are seeking a highly skilled AI Automation Engineer to design, develop, and deploy AI-powered automation solutions that enhance business workflows and reduce manual effort. You will work closely with developers, data scientists, and business strategists to identify automation opportunities, build AI-driven models, and integrate them into real-world applications.

This role requires a blend of AI expertise, software development, and process automation skills, making it ideal for someone passionate about leveraging AI for operational efficiency.

Requirements

Experience & Education:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in AI-driven automation, machine learning, or process optimization.

🛠 Technical Skills:

  • Proficiency in Python, JavaScript, or RPA frameworks (UiPath, Blue Prism, Power Automate).
  • Experience with machine learning models for workflow automation.
  • Strong knowledge of APIs, cloud platforms (AWS, GCP, Azure), and database management.
  • Familiarity with AI-driven process mining, robotic process automation (RPA), and low-code automation platforms.
  • Experience with computer vision and NLP-based automation tools is a plus.

🌟 Soft Skills:

  • Analytical and problem-solving mindset with a focus on efficiency.
  • Ability to communicate complex AI automation concepts to non-technical teams.
  • Strong project management and cross-team collaboration skills.

Responsibilities

✅ Develop AI-powered automation workflows to optimize business operations and reduce manual tasks.
✅ Implement machine learning algorithms for predictive analytics and automated decision-making.
✅ Integrate AI-based automation tools into business applications, CRM platforms, and cloud environments.
✅ Collaborate with cross-functional teams to identify AI-driven process optimization opportunities.
✅ Monitor AI automation performance and fine-tune models to ensure efficiency and accuracy.
✅ Stay ahead of AI trends and recommend emerging automation technologies.

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