[Hiring] AI Engineer @Sabenza IT & Recruitment

Role Description

Are you fascinated by Artificial Intelligence, excited by the endless possibilities of Large Language Models, and passionate about building innovative solutions with Python and AWS? We're looking for an AI Engineer who thrives on solving complex business challenges using cutting-edge AI technologies, machine learning, cloud computing, and automation. If you love turning ideas into intelligent solutions and want to work on projects that make a real impact, this could be your next adventure.

As an AI Engineer, you'll be part of an innovative SAP technology team, designing and delivering intelligent AI-powered solutions that transform business processes. From developing machine learning models and integrating Large Language Models (LLMs) to building scalable cloud applications and intelligent APIs, you'll help shape the future of enterprise technology. If Python is your language of choice and AI is your passion, we'd love to meet you.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or similar qualification.
• 3+ years’ experience in developing in Python.
• Strong background in software development, mathematics, and good analytical and problem-solving skills.
• Experience in AI Solutions.

Requirements

• Python Programming
  • Strong understanding of Python syntax and principles of clean, reusable code.
  • Understanding of Python frameworks and libraries e.g. Pandas and NumPy.
• AWS Lambda Functions
  • Experience developing, deploying, and managing serverless applications using AWS Lambda.
  • Proficiency in writing unit and integration tests for AWS Lambda functions to ensure functionality, performance, and reliability.
• Version Control with Git
  • Experience with Git repositories and code management (e.g. GitHub).
  • Proficiency in using Git for version control and collaboration.
• Testing Frameworks
  • Experience with testing tools like pytest for creating and maintaining unit tests.
  • Ability to implement automated testing pipelines to ensure code reliability.
• API Management
  • API designing principles and best practices.
  • Experience in working with RESTful APIs and understanding how to consume and create APIs.
  • Familiarity with API management tools, such as Apigee, for efficient and secure API integration.
• Cloud Platforms
  • Understanding how to deploy applications in AWS.
• IDE And Tools
  • Visual Studio Code
  • GitHub Desktop
  • PyCharm
  • Jupyter Notebook
• Any additional responsibilities assigned in the Agile Working Model (AWM) Charter.

Benefits

• Cutting edge global IT system landscape and processes.
• Flexible working of 1960 hours in a 12-month period.
• High Work-Life balance.
• Remote / On-site work location flexibility.
• Highly motivating, energetic, and fast-paced working environment.
• Modern, state-of-the-art offices.
• Dynamic Global Team collaboration.
• Application of the Agile Working Model Methodology.