10 Aug
|
Recognized
|
Bengaluru
10 Aug
Recognized
Bengaluru
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
We are much more than our job descriptions, but here is where you will begin:
As a Senior Software Engineer (AI & ML) you will:
- Architect, design, test, implement, deploy, monitor and maintain end -to -end AIML services.(Own complete modules/features end -to -end )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.
- Overall 5+ experience in ML engineering.
- Dedicated 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.
- Deep knowledge about
> - LLMs
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> - Vector stores/databases
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> - Prompt/Context Engineering
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> - Embeddings and their implementations
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> - KV Caching
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> - Experience with GCP/AWS services.
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> - Curious about and motivated by the future trends in data, AI/ML, analytics, and digital experience.
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