SE - AI & ML

About CheQ At CheQ, we’re turning the chaos of credit into a journey that’s clear, rewarding, and even a little fun. With ₹80,000 Cr+ in lifetime payments, a growing tribe of users (30%+ using more than two products), and $16M raised from marquee investors, we’re fast becoming India’s 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 isn’t just another fintech, it’s a full-stack credit experience. What you’ll be doing As a Software Engineer (AI & ML) you will: Build end-to-end AIML services - You build it, you own it Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members. Regularly aligning your team’s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives. Integrate already trained ML and GenAI models (preferably GCP) in services. What you’ll need Like us, you’ll be deeply committed to delivering impactful outcomes for customers. 2+ years of proven work

experience

as a AI/ML/LLM Engineer. Understanding of AIML & Gen AI software engineering fundamentals (LLM, prompts, context, inference, etc.). Hands-on

experience

with Python libraries like Pandas, NumPy, Scikit-learn, Langchain/LLamaIndex etc.

Experience

with machine learning frameworks such as PyTorch or TensorFlow, Keras, being proficient in Python Hands-on

experience

with frameworks such as Django or FastAPI or Flask Hands-on

experience

with MySQL, MongoDB, Redis and BigQuery (or equivalents) Extensive

experience

integrating with or creating AI/ML/LLM based modules.

Experience

with creating and maintaining CI/CD pipelines - we use GitHub Actions.

Experience

with event-driven architectures like Kafka, RabbitMq or equivalents. Good knowledge about LLMs Vector stores/databases Prompt/Context Engineering Embeddings and their implementations KV Caching

Experience

with GCP/AWS services. Curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience. Why should you join CheQ You own it, we trust you Shape your work with freedom, deliver with ownership, backed by trust. Bold, fast & human We push boundaries together, and deliver with agility, rigor, and heart. Always looking out for one another. Growth by osmosis Learn directly from a stellar leadership team with rich, diverse backgrounds. What you’ll not get Monotony → Work is dynamic, expect variety every day. Slow climbs → Growth here is about leaps, not ladders. Layers of red tape → We believe in speed, not bureaucracy.

Like us, you’ll be deeply committed to delivering impactful outcomes for customers. 2+ years of proven work

experience

as a AI/ML/LLM Engineer. Understanding of AIML & Gen AI software engineering fundamentals (LLM, prompts, context, inference, etc.). Hands-on

experience

with Python libraries like Pandas, NumPy, Scikit-learn, Langchain/LLamaIndex etc.

Experience

with machine learning frameworks such as PyTorch or TensorFlow, Keras, being proficient in Python Hands-on

experience

with frameworks such as Django or FastAPI or Flask Hands-on

experience

with MySQL, MongoDB, Redis and BigQuery (or equivalents) Extensive

experience

integrating with or creating AI/ML/LLM based modules.

Experience

with creating and maintaining CI/CD pipelines - we use GitHub Actions.

Experience

with event-driven architectures like Kafka, RabbitMq or equivalents. Good knowledge about LLMs Vector stores/databases Prompt/Context Engineering Embeddings and their implementations KV Caching

Experience

with GCP/AWS services. Curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience. Why should you join CheQ You own it, we trust you Shape your work with freedom, deliver with ownership, backed by trust. Bold, fast & human We push boundaries together, and deliver with agility, rigor, and heart. Always looking out for one another. Growth by osmosis Learn directly from a stellar leadership team with rich, diverse backgrounds. What you’ll not get Monotony → Work is dynamic, expect variety every day. Slow climbs → Growth here is about leaps, not ladders. Layers of red tape → We believe in speed, not bureaucracy.