AI Automation Engineer at Zennova Realty Reql estate development LLC
Dubai, , United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Automation, Project Management Skills, Python, Communication Skills, Data Science, Java, Computer Science, Programming Languages, Artificial Intelligence

Industry

Information Technology/IT

Description

REQUIRED SKILLS & QUALIFICATIONS

· Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or related field (master’s preferred).
· Minimum 5 years of proven experience in AI, automation engineering, and workflow automation.
· Hands-on expertise in N8N automation workflows and strong understanding of RPA platforms (UiPath, Blue Prism, Automation Anywhere).
· Proficiency in programming languages: Python, Java, or C#.
· Deep knowledge of machine learning lifecycle (MLL) and model control processes (MCP).
· Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools.
· Skilled in cloud platforms (AWS, Azure, GCP) and API integrations.
· Strong problem-solving, analytical, and project management skills.
· Excellent communication skills, with the ability to collaborate across technical and business teams.
·

How To Apply:

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Responsibilities

ABOUT THE ROLE

We are seeking an experienced AI Automation Engineer with strong expertise in N8N automation and MCP/MLL specialization to drive digital transformation across our operations. The ideal candidate will design and implement AI-driven workflows, automate business processes, and build intelligent solutions that enhance efficiency, customer engagement, and decision-making in the real estate sector.

KEY RESPONSIBILITIES

· Design, develop, and implement AI-powered automation workflows using N8N and other RPA tools.
· Build, maintain, and optimize intelligent automation solutions across CRM, ERP, and real estate management platforms.
· Develop chatbots, predictive models, and machine learning pipelines (MLL/MCP specialization) to improve client engagement and data-driven decision-making.
· Integrate AI, NLP, and automation frameworks with internal systems to enhance operational efficiency.
· Analyze large datasets, generate insights, and support strategic business forecasting.
· Ensure scalability, data security, and compliance in all AI/automation solutions.
· Collaborate with IT, sales, and operations teams to identify automation opportunities and implement innovative solutions.
· Stay ahead of the latest trends in AI, machine learning, and automation to bring continuous innovation.

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