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, OpenAI'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.
