ML Engineer / Data Scientist

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:

1. Experience with multiple LLM platforms and frameworks.
2. Familiarity with natural language processing (NLP) techniques and libraries.
3. 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.