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Junior Machine Learning Engineer
JumpQ - SaaS Platform for B2C Enterprises
Experience: 2-5 years
Location: Remote
Salary: As per market standards
Work Timings: 10 AM to 7 PM (Monday to Friday)
Job Description
JumpQ
JumpQ is a cutting-edge SaaS platform designed to help B2C enterprises redefine their presales funnel. JumpQ empowers businesses to optimize customer engagement, streamline lead generation, and enhance conversion rates by targeting industries like real estate and fintech. By leveraging innovative technology, we give enterprises the tools to supercharge their sales processes and deliver a seamless customer experience.
Role Overview
JumpQ is seeking a Junior Machine Learning Engineer who has hands-on experience with Python, OpenAI prompts, model tuning, and working on AI-driven products such as chatbots and sentiment analysis. This role is perfect for an enthusiastic individual eager to make an impact in the fintech space and work on cutting-edge machine learning models that help homebuyers on their journey to ownership.
As a Junior MLE, you will contribute to building, deploying, and enhancing AI-driven systems that empower users, including chatbots and sentiment analysis tools that improve the user experience on our platform.
Key Responsibilities
1.Develop, train, and fine-tune machine learning models to improve chatbot functionality, automate processes, and enhance sentiment analysis capabilities.
2.Collaborate with cross-functional teams to integrate machine learning algorithms into JumpQ’s fintech platform.
3.Optimize and deploy models for production environments to ensure they scale and run efficiently.
Work with Python and other tools to implement and improve AI models, specifically focusing on natural language processing (NLP).
4.Collaborate with product teams to design and test current features for AI-driven solutions.
5.Maintain and update models and systems, ensuring they stay relevant and effective
📌 Machine Learning Engineer (Mumbai)
🏢 Jumpq
📍 Mumbai