Role :
Machine Learning (ML) Engineer Intern
Location :
WORK FROM HOME
JOB DESCRIPTION:
Any startup or high-growth SMB’s finance operations are beset by resource-intensive vendor payment and customer collection procedures. This results in thousands of dollars in payment costs and hundreds of wasted finance manhours!
With its straightforward API and one-click accounting software interfaces, Peakflo enables companies to expedite vendor payments and customer collections. Peakflo is used weekly by 187 finance team users across SE Asia, ranging from early-stage companies to unicorns, to: ✅Save 100 hours/month on finance operations ⏳✅ Receive payment for client bills 10–20 days sooner 📈
Simplify vendor payments and reduce fees by 50–90% 💰
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What you will do
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
To join our vibrant team, we are looking for a Machine Learning (ML) Engineer Intern that is extremely driven and meticulous. You will be instrumental in creating and executing machine learning solutions as an ML Engineer Intern, which will propel company expansion and enhance our offerings.
💪 What you’ll do: Create prompt flows that are optimized for voice:
Create conversational flows using goal-oriented multi-turn dialogue that is tailored for voice-only interactions, taking into account genuine speech patterns such as pauses, interruptions, and intonation.
To prevent ambiguity, make sure the TTS pronunciation instructions are unambiguous (e.g., specifically writing out phone numbers, email addresses, and dates).
Put hierarchical workflows and agentic architecture into practice:Create finance AI agents that manage sub-agents, such as an editor agent to create reports, a finance agent to analyze transactions, and a research agent to retrieve financial data.
Education Required:
- Bachelor’s or Master’s degree in Statistics, Machine Learning, Data Science, or a related field.
- 0.5 – 2 years of industry experience with Machine Learning, Statistics and / or LLM fine-tuning and prompt engineering.
Any stream
Fresher’s
Experienced also
skills
- a degree in statistics, machine learning, data science, or a similar discipline, either bachelor’s or master’s.
Experience in the field of machine learning, statistics, and/or LLM fine-tuning and prompt engineering for 0.5 to 2 years.
Outstanding English communication skills, both in writing and speaking.
substantial background in Python programming.
familiarity with cloud computing technologies such as Google Cloud.
strong background in ML product launch and Python back-end development.
enthusiastic about AI’s potential to revolutionize the commercial world.
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