🏦 About Fold
At Fold, we are rebuilding personal finance and mobile banking from the ground up for India’s internet native citizens. Check out the app here - App Store Fold Money
🏋️ About the role
We are seeking a talented AI/ML intern to join our dynamic tech team. As an AI/ML intern, you will be responsible for building and maintaining ML services that will help our ML models work efficiently. You will work closely with our backend and ML team to integrate machine learning capabilities into Fold. You will also collaborate with cross-functional teams to design and deploy scalable ML solutions that deliver value to our users.
💯 You’d fit in if
- You’re a recent graduate in Computer Science, Data Science, Engineering or a related field.
- You have a basic understanding of training, testing, and deployment of machine learning algorithms.
- You’re proficient in at least one programming language, preferably Python.
- You've had experience with machine learning frameworks and libraries such as Tensorflow, PyTorch, scikit-learn, HuggingFace, etc.
- You’ve strong analytical and problem-solving skills.
- You've got strong knowledge of data structures and algorithms.
- You’ve had prior experience with AI/ML projects (coursework, personal projects, or previous internships) is a plus.
🛠 Responsibilities
- Develop and implement machine learning models to build and improve our categorisation engine F1
- Perform EDAs on using state-of-the art LLMs in personal finance.
- Setup data pipelines for EDAs, training, and the development of models.
- Evaluate model performance and iterate on model improvements.
- Work closely with our ML team and integrate AI and ML-based solutions seamlessly into our core product.
🤌🏻 Good to have skills
Apart from building APIs, hosting models, and maintaining the MLOPs and infrastructure, having knowledge of Machine Learning Models, LLMs and ML stack is a big plus.
⚙️ Our tech stack
- Back-end: Python, FastAPI, Postgres, Redis, AWS SQS, Qdrant, Meilisearch
- Infra: Amazon AWS, ECS, Terraform
- CI/CD: GitHub actions
- Monitoring: Grafana, X-Ray, Cloudwatch
🌱 Join us
- 6-month intern
- Competitive stipend
🎁 Perks and benefits
- Generous leave policy.
- Flexible working hours: It doesn't matter if you're a morning person or a night owl, work when you want. We all work asynchronously. Meetings are the exception, not the rule.
- We'll take care of you: Annual team retreats, meals and accommodation if you choose to work at Bangalore HQ. Wellness allowance to take care of your physical and mental health.
- Make a big difference: Take, own, and implement decisions to build Fold from scratch. We are not rushing to market but focusing on a quality product and the attention to little details.
⚙️ Our recruitment process
- Introduction: Get on an introductory call with us. We'll talk about your interests, your past experience, our vision of the future, and how you can contribute and help us achieve it.
- Take-home exercise: We'll send over a small challenge, which you'll have to complete and send back in 48 hours.
- Pair designing: If we like your submission, we'll invite you to an interview with one of our designers, with whom you'll be pair-designing.
We move very fast, and we'll be mindful of your time. All of this will be done within a week, and if all goes well you'll receive a final offer within 24 hours of the pair-programming interview.
Write ✍️ to us
If you think you'd like to join us, write to us at join@fold.money, with links to your GitHub profile, Devfolio, personal portfolio, LinkedIn, or anything else you think might be relevant. To truly stand out, we recommend you answer at least one of these questions:
- What are the best systems that you've made without anybody asking?
- What's your favourite app? How would you make it better?
- What was the first thing you built? When and why did you make it?
- What are some of the interesting engineering problems you have solved?
- What big problem is nobody solving?
- List three problems in 21st-century personal finance, and tell us how you would solve them.