Machine Learning (ML) Engineer Intern (India/Remote)
Apply using this link
- https://app.dover.com/apply/Peakflo/f885883d-1ae9-48a7-bd64-8e2898be07b7?rs=42706078
🚀 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
Machine Learning (ML) Engineer Intern
to join our dynamic team. As a ML Engineer Intern, 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
Craft voice‑optimized prompt flows:- Design conversational flows that account for natural speech patterns—pauses, interruptions, intonation—with goal‑oriented multi‑turn dialogue optimized for voice-only interactions.
- Ensure prompts are clear for TTS pronunciation (e.g. spelling out email IDs, phone numbers, dates explicitly) to avoid ambiguity
- Implement agentic architecture and hierarchical workflows: * Build finance AI agents that coordinate sub‑agents—for example, a Research Agent to fetch financial data, a Finance Agent to analyze transactions, and an Editor Agent to craft reports. * Organize these into hierarchical-sequential or plan‑and‑execute flows for scalability and modularity
- Continuous prompt refinement & iteration: * Use LLM feedback loops or "self‑reflection" to score outputs, detect hallucinations, and improve prompts over time. * Set up pipelines for A/B testing, prompt versioning, and performance QA tailored to financial use cases * Apply expertise in and potentially fine-tune leading LLMs (e.g., Google's Gemini, OpenAI's GPT series, Anthropic's Claude) to optimize AI Finance Employee performance. * Optimize overall LLM system performance to ensure low latency and high efficiency across all financial AI applications. * Grounding & retrieval true‑fact enhancement: * Integrate RAG (retrieval-augmented generation) with enterprise knowledge bases or financial APIs to avoid misinformation or drift—especially for task‑sensitive use cases like invoicing or AR follow-ups. * Maintain tight context control around business domains to limit actions only to finance‑specific interactions
- Voice integration & prompt‑tech stack collaboration: * Collaborate closely with engineering teams to integrate prompts with speech recognition, intent extraction, LiveKit voice infrastructure, and telephony APIs. * Ensure client-side and server-side orchestration maintains real‑time responsiveness and low latency in voice flows * Architect and integrate LLM systems with a wide range of third-party tools and platforms to facilitate diverse use cases, including email interactions and user chat interfaces. * AI Solution Development - Develop and optimize complementary AI components such as advanced customizable OCR models, intelligent chatbots, and automated approval systems to support financial workflows. * Maintain a strong understanding of and stay current with the latest advancements, research, and best practices in large language model (LLM) technologies and AI to drive continuous innovation.
🕵️♀️ Who We’re Looking For
- 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.
- 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 stipend
- Performance based full-time role conversion
- Benefits package (post full-time conversion)
- Opportunity for career growth and skill development.
- Collaborative and innovative work environment.
- Flexible work hours and remote work options.
Apply using this link
- https://app.dover.com/apply/Peakflo/f885883d-1ae9-48a7-bd64-8e2898be07b7?rs=42706078
