AI Platform Implementation Engineer

Overview

At CloudFactory, 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.

Culture

• 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!

Role Summary

As a Customer Onboarding Engineer, you will be the technical accelerator for our newly onboarded customers or existing customers seeking platform transformation. You ensure that new customers can connect their data, configure their workflows, and launch their pilots without friction. You will play the role of a technical troubleshooter, platform enabler and customer success champion.

Responsibilities

• Customer Need Analysis: Run customer workshops to understand their pain points, problems they are trying to solve and how CloudFactory can help them
• Rapid Configuration: Execute technical setups for new client accounts, including SSO integration, IAM user management, and workspace configuration
• Standard Integrations: Connect client data sources to the CloudFactory Platform using our standard connectors
• Client Enablement: Run technical training sessions to teach client teams how to use our “Model Playground,” upload datasets, interpret quality reports etc
• Troubleshooting: Serve as the first line of defense for technical friction during the first 90 days.
• Feedback Loop: Document friction points in the onboarding process and work with Internal Product teams for future enhancements

Requirements

Competencies

Education & Experience:

• 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)

Technical Skills (Hard Skills):

• 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: Experience with cloud storage (AWS S3, GCS, Azure Blob) and basic database querying (SQL/NoSQL)

Professional Skills (Soft Skills):

• Root Cause Analysis: Ability to look at an error log and determine if it’s a user error, a platform bug, or a configuration mismatch
• Documentation: A compulsion to document “fixes” into reusable Knowledge Base articles or runbooks
• Client Empathy: The patience to explain technical concepts to non-technical stakeholders

Benefits

• Great Mission and Culture
• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Periodic team building and social events

At CloudFactory, we believe that work should be more than just a job-it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you’re looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work-we can’t wait to meet you!

• 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)

Technical Skills (Hard Skills):

• 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: Experience with cloud storage (AWS S3, GCS, Azure Blob) and basic database querying (SQL/NoSQL)

Professional Skills (Soft Skills):

• Root Cause Analysis: Ability to look at an error log and determine if it’s a user error, a platform bug, or a configuration mismatch
• Documentation: A compulsion to document “fixes” into reusable Knowledge Base articles or runbooks
• Client Empathy: The patience to explain technical concepts to non-technical stakeholders

• 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!, * Great Mission and Culture

• Meaningful Work
• Market competitive salary
• Quarterly variable compensation
• Comprehensive medical cover
• Group life insurance
• Personal development and growth opportunities
• Periodic team building and social events

At CloudFactory, 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.