Talentd
PeakfloOpen, posted Banking & Financial Services

Peakflo is hiring Machine Learning Engineer Intern | Remote | 50k/month

Takes batch 2022, 2023, 2024, 2025InternshipRemote
Salary₹40K–50K a month
Experience0–2 years
LocationRemote
DegreeBachelor’s or Master’s degree in Statistics, Machine Learning, Data…
Posted
Apply on dover.comSaveOpens Peakflo's own form. Talentd never charges you.
Before you apply

Free, 3 of each a month. Or have a person review your resume, ₹499.

Role Overview:

As a Machine Learning (ML) Engineer Intern, you will design and optimize AI-driven finance solutions, develop LLM-powered workflows, and integrate advanced voice and RAG capabilities to enhance product performance. You will work closely with engineering teams to ensure low-latency, high-accuracy financial AI interactions while continuously refining prompt and model performance.

Key Responsibilities:

  • Design conversational flows optimized for voice, considering speech patterns, pauses, and pronunciation clarity
  • Build finance AI agents with agentic architectures and hierarchical workflows
  • Implement continuous prompt refinement, A/B testing, and performance QA for financial AI use cases
  • Fine-tune and optimize LLMs (e.g., Google Gemini, OpenAI GPT, Anthropic Claude) for finance operations
  • Integrate retrieval-augmented generation (RAG) with financial APIs and enterprise knowledge bases
  • Collaborate on voice integration with speech recognition, intent extraction, LiveKit, and telephony APIs
  • Architect LLM systems with third-party tool integrations for email and chat interfaces
  • Develop complementary AI components like OCR models, intelligent chatbots, and automated approval systems
  • Stay up to date with LLM and AI research and best practices

Education Requirement: Bachelor’s or Master’s degree in Statistics, Machine Learning, Data Science, or related field

Experience Required: 0.5 – 2 years in Machine Learning, Statistics, LLM fine-tuning, or prompt engineering

Skills Required: Python, Google Cloud, Python back-end development, LLM fine-tuning, prompt engineering, natural language processing, NLP libraries, RAG integration, speech recognition, intent extraction, OCR, chatbot development, version control (Git), AI system optimization

Benefits:

  • Competitive stipend
  • Performance-based conversion to full-time role
  • Benefits package upon full-time conversion
  • Career growth and skill development opportunities
  • Collaborative and innovative work environment
  • Flexible hours and remote work

Why Join Us:

Join a fast-growing startup that is transforming financial operations for businesses across Asia. You will work on cutting-edge AI technologies, gain hands-on experience with industry-leading tools, and be part of a collaborative environment where your contributions directly impact real-world products.

Skills and topics

More jobs like this

About Peakflo

Banking & Financial Services · Founded 2021 · HQ Singapore
Company page

Peakflo is a fast-growing fintech startup that provides accounts receivable and payable automation solutions for businesses across Southeast Asia. Founded in 2021, the company’s mission is to streamline cash flow management by enabling SMEs and enterprises to automate invoice collections, payment approvals, and reconciliation processes.

Size
11–50 people
Open jobs on talentd
This one
Pay in this post
₹40K–50K a month
Founded
2021
Headquarters
Singapore
Website
peakflo.co

Similar companies hiring freshers

Questions about this job

Can 2025 graduates apply for this Peakflo Machine Learning Engineer Intern job?

Yes. The post takes batch 2022, 2023, 2024 and 2025, and asks for Bachelor’s or Master’s degree in Statistics, Machine Learning, Data Science, or related field, with 0–2 years of experience.

What is the salary for Machine Learning Engineer Intern at Peakflo?

The post lists ₹40K–50K a month.

How do I prepare for the Peakflo interview?

Revise the skills the post asks for (GIT, Google Cloud and LLM fine-tuning) and practise common fresher interview questions on FleetCode.

Peakflo
Apply