[{"Salary":null , "Remote_Job":false , "Posting_Title":"Machine Learning Intern" , "Is_Locked":false , "City":"Bangalore" , "Industry":"Financial Services","Job_Description":"
About CheQ
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At CheQ, were turning the chaos of credit into a journey thats clear, rewarding, and even a little fun. With \u20b950,000 Cr+ in lifetime payments, a growing tribe of users (30%+ using more than two products), and $16M raised from marquee investors, were fast becoming Indias favorite way to go from credit-stressed to credit-smart.
Founded by ex-Flipkart leader Aditya Soni and backed by 3one4 Capital, Venture Highway, Ram Shriram, Lloyd Mathias and more, CheQ isnt just another fintech, its a full-stack credit experience.
Heres what makes us different:
-Credit, simplified \u2192 Track, pay, and optimise every credit card, loan, and bill in one smooth dashboard.
-AI that actually helps \u2192 Meet Wisor, Indias first AI-powered credit advisor giving real financial intelligence, not just data.
-More than payments \u2192 Rewards, instant loans, and an embedded wallet all stitched into one seamless journey.
Were here to make managing money feel less like a chore and more like a win
Engineering @CheQ
Engineers at CheQ are true builders. They bring in a myriad of ideas, and create the infrastructure, systems and products that drive our services. Our engineers build Zero to One products, microservices, DBs and everything else (from farm to table).
With their magic they take a product, feature or experience from ideation to production, always keeping the customers and their interests in mind. This includes understanding consumer & business needs, critiquing & challenging product and design counterparts and owning the execution & delivery of the scope. We are seeking a Machine Learning Intern to join our Wisor team, Indias first AI Credit Advisor. As a Machine Learning Intern at CheQ, you will work alongside our engineering and research teams to design, experiment, and prototype AI-driven solutions. This role is perfect for someone who is passionate about Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI, with a solid foundation in Python programming and curiosity to explore the future of AI.
What Youll Work On
- Build and fine-tune NLP and Transformer-based models.
- Experiment with Generative AI frameworks (LLMs, embeddings, diffusion models).
- Design, evaluate, and optimize prompts for real-world applications.
- Contribute to the development of AI agents and tool integrations.
- Preprocess, analyze, and experiment with structured and unstructured data.
- Partner with mentors to research and implement novel AI techniques.
Who Were Looking For
- Strong knowledge of Python and ML libraries (e.g., PyTorch, Hugging Face).
- Familiarity with web frameworks (FastAPI, or Flask).
- Understanding of NLP concepts (tokenization, embeddings, transformers, attention).
- Knowledge of Generative AI (LLMs, GPT, diffusion models, RAG pipelines).
- Exposure to prompt engineering and evaluation methods.
- Awareness of agent frameworks (e.g., LangChain, LlamaIndex) is a plus.
- Strong problem-solving mindset, eagerness to learn, and adaptability in fast-paced
- environments.
Current Projects You May Contribute To
- Building strong compliance and guardrails on the input and output for our chatbot to ensure safe, reliable, and ethical AI responses.
- Creating dynamic user personas based on interaction and conversation history to deliver personalized experiences.
- Enhancing evaluation pipelines for prompts and agent workflows to accelerate development and reduce project timelines.
- Automating operational workflows across different teams to improve efficiency, reduce manual effort, and enable faster execution.
What Youll Gain
- Real-world exposure to AI product development in the fintech domain at scale.
- Hands-on experience with state-of-the-art ML/GenAI technologies.
- Opportunity to understand AI agent architectures and pipelines.
- Collaboration across data science, engineering, design, and business teams.
- Mentorship from experienced ML engineers and researchers.
- Pathway to potential full-time opportunities based on performance.
Why should you join CheQ
- Experience working with teams across data, tech, and marketing.
- Exposure to real-world product development in fintech at scale.
- Opportunity to own problem statements end-to-end and see them go live in production.
- Flexibility to explore adjacent areas like design, growth, and retention, depending on your interest.
