Mylinego, Inc (PatternFast)

Job Summary:
We are looking for a Customer Support Specialist to manage all communications with our customers across four key projects. The ideal candidate will be adept at providing support via email and chat, ensuring a high level of customer satisfaction.

Key Responsibilities:

• Respond to customer inquiries and support requests through Atlassian Service Desk, Email and chat in a timely and professional manner.
• Provide accurate information on products, services, and project details while maintaining a deep understanding of the four projects.
• Troubleshoot and resolve customer issues effectively, ensuring a positive customer experience.
• Maintain detailed records of customer interactions and feedback within our CRM system.
• Collaborate with other teams to escalate issues and provide advanced support when necessary.
• Identify trends in customer feedback and suggest improvements to enhance the customer experience.

• Assist in the creation of FAQs, knowledge base articles, and support documentation.

   

Qualifications:

• High school diploma or equivalent; a degree in a relevant field is a plus.
• 1-2 years of experience in customer support or a similar role.
• Excellent written and verbal communication skills.
• Strong problem-solving abilities and a customer-oriented attitude.
• Proficiency in using email and chat support tools; experience with CRM software is preferred.
• Ability to sew will be considered a significant plus.

• Ability to work independently and manage time effectively in a fast-paced environment.

   

What We Offer:

• Competitive salary and benefits package.
• Opportunities for training and professional development.
• A supportive and collaborative work environment.
• A fully remote work environment with flexible hours.

About the Role

Lead the development of  multimodal RAG system that transforms fashion sketches into parametric sewing patterns. This role combines cutting-edge computer vision, NLP, and domain-specific code generation to automate pattern-making for the fashion industry.

Key Responsibilities

Technical Leadership

• Architect and implement end-to-end multimodal RAG pipeline for sketch-to-pattern conversion
• Design and optimize computer vision models for fashion sketch analysis and feature extraction
• Lead development of custom LLM fine-tuning for Ruby algorithm generation on AWS infrastructure
• Establish MLOps best practices using AWS AI services for model deployment, monitoring, and continuous improvement
• Define technical strategy for scaling ML infrastructure leveraging AWS GPU clusters and cloud services
• Implement automated training and deployment pipelines for continuous Ruby code generation improvement

Research & Innovation

• Research state-of-the-art techniques in multimodal learning and cross-modal retrieval
• Develop novel approaches for fashion domain-specific pattern recognition
• Pioneer techniques for parametric algorithm generation from visual inputs

• Collaborate with fashion designers to understand domain-specific requirements and constraints

   

Team Leadership

• Mentor senior and junior ML engineers in advanced techniques
• Drive technical decision-making across the ML team
• Collaborate with product, engineering, and design teams to align technical capabilities with business goals
• Establish coding standards and review processes for ML codebase
• Lead hiring and onboarding of additional ML talent

Required Qualifications

Technical Expertise

• Extensive experience in Machine Learning, Computer Vision, or related field, or equivalent industry experience (8+ years)
• Deep expertise in multimodal learning, particularly vision-language models
• Proven experience with RAG systems, vector databases, and large-scale embedding retrieval
• Strong background in computer vision: CNNs, Vision Transformers, object detection, image segmentation
• Advanced knowledge of NLP and LLM fine-tuning techniques (LoRA, QLoRA, RLHF)
• Production experience with PyTorch, transformers library, and modern ML frameworks
• Experience with open-source LLM architectures and deployment at scale
• Expertise in designing and implementing custom training pipelines for domain-specific applications

Preferred Qualifications

• Previous experience in computer-aided design (CAD) or algorithmic content generation
• Understanding of parametric modeling concepts and constraint-based systems
• Interest in fashion technology and pattern-making processes
• Experience with code generation for domain-specific applications

What We Offer

• A fully remote work environment with flexible hours.
• A collaborative, innovative team with growth opportunities.
• Compensation for sick leave and regular paid vacations.
• Holidays according to the US calendar.