AI Platform Implementation Engineer

At Cloud Factory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

At Cloud Factory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven:
  We focus on creating economic and social impact.
• People-Centric:
  We care deeply about our team’s growth, well-being, and sense of belonging.
• Innovative:
  We embrace change and find better ways to do things together.
• Globally Connected:
  We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

As an AI Platform Implementation Engineer
, you will own the technical activation of new customers on the Cloud Factory platform. You will ensure seamless integration of client data, authentication systems, and ML workflows, enabling customers to launch production pilots with speed and confidence. This role sits at the intersection of AI, data engineering, and customer enablement.

This is a hands‑on, technical role for someone who enjoys solving real‑world integration challenges, troubleshooting system friction, and translating complex technical concepts into actionable solutions.

You will be the technical bridge between Customer, Product, and Delivery during the most critical phase of the customer lifecycle: activation and early adoption.

What You Will Do:

• Education: Bachelor’s degree in Computer Science, Information Technology, Management Information Systems or equivalent practical experience.
• Work Experience:
  • 2–4 years of experience in Technical Support, Implementation Engineering, or Customer Success Engineering.
  • Proven track record of onboarding customers to SaaS platforms or technical data products.
  • Experience working with cross‑functional teams (Product, Delivery, Sales).

• API Proficiency:
  Strong ability to use tools like Postman/cURL to test endpoints; understanding of RESTful architecture, JSON, and authentication methods (Oauth, API Keys).
• Scripting:
  Basic proficiency in Python or Bash for file manipulation and data cleaning.
• Cloud Literacy:
  Familiarity with cloud storage navigation (AWS S3, Google Cloud Storage, Azure Blob) and file transfer protocols.
• Identity Management:
  Experience configuring SSO (Single Sign-On), SAML, and managing user permissions (IAM) is a strong plus.
• Data Formats:
  Expert-level comfort with CSV, JSON, JSONL, and XML.
• Computer Vision & ML Exposure:
  • Practical familiarity with Computer Vision libraries (e.g., OpenCV, Pillow, Scikit‑image).
  • Understanding of image/video data structures (pixel arrays, frame extraction) and annotation formats (COCO, YOLO, JSON, DICOM for medical).
  • Ability to troubleshoot ML model inference (understanding confidence scores, IoU, and drift).
• Data Engineering:
  
  Experi…