ML Engineer

S-PRO, a top-tier Digital Innovation and Software Engineering company. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.

About the project

It is a platform that enhances customer engagement by enabling businesses to connect with potential customers instantly through callback widgets, lead management, and call tracking solutions. The platform is designed to optimize lead response times, ultimately increasing conversions and improving sales efficiency.

S-PRO is developing an AI-powered sales assistant for ResponseIQ to automate and enhance the sales demo process. This AI assistant will act as a virtual sales representative, navigating the website in real-time within the user’s browser session, answering questions, and personalizing the experience based on interactions.

Tech Stack:

• LiveKit for voice assistant
• Deepgram/11Labs for STT & TTS (alternative: OpenAI real-time API)
• OpenAI for LLM interactions
• Qdrant for vector store (knowledge base)
• FastAPI for backend
• React, Next.js for frontend
• BrowserUse for browser automation & demo trajectory creation

Responsibilities:

• Implement business logic to improve user query handling.
• Improve speech-to-text and text-to-speech pipelines using Deepgram/11Labs.
• Work on automation of demo flow creation via browser automation via BrowserUse.
• Develop personalization features for the agent
• Collaborate with S-PRO team: 2 ML engineers, 1 frontend engineer, 1 solution architect, 1 PM
• Communicate technical progress with the CEO (founder) and CTO of ResponseIQ.
  
  Requirements:
• 3+ years of experience in Python
• 3+ years of experience in Machine Learning & NLP
• Hands-on experience with LLM APIs (OpenAI API or equivalent models).
• Experience with STT & TTS technologies (Deepgram, 11Labs, Whisper, or similar).
• Python development skills with FastAPI for backend services.
• Experience with vector databases like Qdrant or FAISS.
• Familiarity with browser automation frameworks.
• Understanding of HTML and DOM — basics of frontend is a must.
• Ability to work in an agile environment and communicate effectively with stakeholders.
• Upper-Intermediate English level.
  
  Nice to Have:
• Experience with fine-tuning LLMs.
• Knowledge of frontend technologies (React, Next.js) will be a huge plus.
• Familiarity with customer engagement solutions (support systems, chatbots, etc)
  
  Benefits and perks
• Flexible schedule. 
• Remote work model. 
• Medical insurance
• Paid vacations
• Paid Sick-leaves.

• Paid State holidays.