AI/ML Engineer

5 days ago

Philippines Perform Full time

2 days ago Be among the first 25 applicants As the AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement. This is a role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team. You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction. Responsibilities Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents. Lead the development and fine-tuning of large language models tailored to our domain. Architect training workflows that use user feedback and corrections to continually improve model performance. Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats. Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures. Design robust evaluation pipelines and performance metrics for all models. Help architect scalable systems to support training, inference, and feedback pipelines. You’ll be building core systems from scratch. Qualifications 5+ years with Python development experience 3+ years experience as an AI/ML Developer. JavaScript / Node.js / React Experience with Mongo DB and AWS Upper Intermediate English level Since 2005, Perform's engineers have been helping companies scale their apps and their teams. We were near-shoring before it was even a term and have worked with 100s of clients along the way. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Referrals increase your chances of interviewing at Perform by 2x #J-18808-Ljbffr

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