Ml engineer

3 weeks ago


Singapore Peakflo Full time

ML Engineer / Data Scientist What we’re building Finance operations at any high-growth SMB or startup are plagued with resource-intensive customer collections and vendor payment processes. This culminates into hundreds of wasted finance manhours and thousands of dollars in payment fees Peakflo with its simple API and one-click accounting software integrations, allows businesses to streamline their customer collections and vendor payments. 187 finance team users, from early-stage startups to unicorns in SE Asia, use Peakflo each week to: Save 100 hours/month on finance ops Get paid faster on customer invoices by 10-20 days Streamline vendor payments and save 50-90% on fees Most importantly, we have begun building an environment that encourages intellectual curiosity, problem-solving, and ownership. An environment that provides the support and mentorship needed to succeed, learn, and grow ️ What we’re Looking For: We are seeking a highly motivated and detail-oriented ML Engineer / Data Scientist to join our dynamic team. As a ML Engineer / Data Scientist, you will play a crucial part in developing and implementing machine learning solutions to drive business growth and improve our products. What you’ll do Fine-tune and perform prompt engineering for LLMs (primarily Google's Gemini, Open AI's GPT 3.5, GPT 4 & GPT-4o, and Anthropic's Claude) to create advanced AI Finance Employees. Develop advanced customisable OCR models, chat bots and approvers. Architect LLM systems that integrate with third-party tools for diverse Peakflo use cases (e.g., email conversations, user chat interfaces). Minimize hallucinations and improve consistency in AI-generated responses. Optimize LLM system performance to reduce latency. Stay current with the latest advancements in LLM technologies to maintain our competitive edge. Who we’re looking for Bachelor's or Master's degree in Statistics, Machine Learning, Data Science, or a related field. 2 years of industry experience with Machine Learning, Statistics and / or LLM fine-tuning and prompt engineering. Excellent written and verbal communication skills in English. Extensive experience in Python programming. Proficiency with cloud platforms like Google Cloud. Strong expertise in Python back-end development and launching ML products in production. Passionate about AI and its potential to transform businesses. We’re Particularly Interested In People Who Have: Experience with multiple LLM platforms and frameworks. Familiarity with natural language processing (NLP) techniques and libraries. Knowledge of software engineering best practices and version control systems (git) Benefits : Competitive salary and benefits package. Opportunity for career growth and skill development. Collaborative and innovative work environment. Flexible work hours and remote work options. #J-18808-Ljbffr


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