Peakflo Off Campus Hiring Machine Learning Engineer Intern Freshers | ₹480,000 - ₹600,000

💻 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 an ML Engineer Intern, you will play a crucial role 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, and multi‑turn dialogue optimized for voice-only interactions. Ensure prompts are clear for TTS pronunciation by explicitly spelling out email IDs, phone numbers, and dates.
• Implement agentic architecture and hierarchical workflows: Build finance AI agents that coordinate sub‑agents (e.g., Research Agent, Finance Agent, Editor Agent) organized into scalable hierarchical-sequential flows.
• Continuous prompt refinement & iteration: Use LLM feedback loops to detect hallucinations, improve prompts, and set up pipelines for A/B testing, versioning, and QA tailored to financial use cases.
• LLM expertise and optimization: Fine-tune leading LLMs (Google Gemini, OpenAI GPT, Anthropic Claude) and optimize system performance to ensure low latency and high efficiency in financial AI applications.
• Grounding & retrieval true‑fact enhancement: Integrate RAG with enterprise knowledge bases or financial APIs to maintain factual accuracy and limit actions to finance-specific interactions.
• Voice integration & prompt‑tech stack collaboration: Work with engineering teams to integrate prompts with speech recognition, LiveKit voice infrastructure, and telephony APIs while ensuring real‑time responsiveness.
• AI Solution Development: Develop and optimize AI components like OCR models, intelligent chatbots, and automated approval systems to support financial workflows.
• Stay updated with the latest advancements in LLM and AI technologies to drive 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 in Machine Learning, Statistics, or LLM fine-tuning and prompt engineering.
• Excellent written and verbal communication skills in English.
• Extensive experience in Python programming and back-end development.
• Proficiency with cloud platforms like Google Cloud.
• Experience launching ML products in production.
• Passion for AI and its transformative potential in business.

➕ We’re Particularly Interested In People Who Have

• Experience with multiple LLM platforms and frameworks.
• Familiarity with NLP techniques and libraries.
• Knowledge of software engineering best practices and version control (Git).

🙂 Benefits

• Competitive stipend.
• Performance-based full-time role conversion.
• Benefits package post full-time conversion.
• Opportunities for career growth and skill development.
• Collaborative and innovative work environment.
• Flexible work hours and remote work options.