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ML Integration Engineer

3 months ago

Bengaluru, Karnataka, India Fold Full time

AI / ML Integration Engineer

TL;DR: Full-time AI/ML integration engineering position. Major work around our F1 categorisation engine. Must have 4+ years of experience in Python, FastAPI, databases, and MLOps.

About Fold

At Fold ( we are rebuilding personal finance and mobile banking from the ground up for India's internet native citizens.

About the role

We are seeking a talented AI/ML integration engineer to join our dynamic tech team. As an AI/ML integration engineer, you will be responsible for building and maintaining ML services that will help our ML models to 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

  • We don't care about your credentials and degrees, but having a solid 4+ years of experience in building and managing Python FastAPI web servers at scale is a must.
  • You enjoy building ML-powered products from scratch. Joining in at an early stage involves a lot more than just coding. You'll be working in often fast-paced environments, contributing to product and business decisions, and leveraging your expertise to drive innovation.
  • You can work in teams. You need to be able to collaborate and work across teams, effectively communicating complex ML concepts to both technical and non-technical stakeholders.
  • You can work within business constraints. You understand how companies work and can balance the tradeoffs between time, speed, and features when implementing ML solutions.
  • You have a deep understanding of the fintech industry . Experience integrating ML techniques into fintech applications is a big plus.
  • You have been a Fold user and are interested in solving personal finance, and categorisation problems at scale.

Responsibilities

  • Develop and implement machine learning models to build and improve our categorisation engine F1 (
  • Work closely with our ML team and Integrate AI/ML-based solutions seamlessly into our core product.
  • Design and build APIs and infrastructure to serve ML models as well as LLM based solution on scale.
  • Optimize ML models for deployment in production environments, considering factors such as latency, memory usage, and resource constraints.
  • Set up data pipelines for EDAs, training and development of models.
  • Collaborate with cross-functional teams to define and implement data collection strategies, ensuring high-quality and relevant data for training and evaluation.
  • You'll create experiences that shape an iconic product. We believe in hiring smart people who pride themselves in good values, their work ethics, and holding great responsibility.

Good to have skills

Apart from building APIs, hosting models, and maintaining the MLOPs/infra, 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

  • Full-time
  • We'll help set up your workspace
  • Competitive salary
  • Generous stock options (for full-time employees)

Perks and benefits

  • Generous leave policy: Unlimited paid leave.
  • Flexible working hours: Work when you want. We work asynchronously.
  • Get your perfect setup: Mac/Windows/Linux, mechanical keyboard, or anything you need. We'll help set up your workspace.
  • We'll take care of you: Annual team retreats, wellness allowance for gym memberships, meditation apps, and more.
  • Health insurance & benefits: Comprehensive coverage for full-time employees, free health check-ups, unlimited doctor consultations, and generous personal accident insurance.
  • Make a big difference: Take, own, and implement decisions to build Fold from scratch. Focusing on a quality product and attention to detail.

Our recruitment process

  • Introduction: Chat about your interests, past experience, and how you can contribute.
  • Take-home exercise: A challenge to showcase your skills.
  • Pair programming: Real-world problem-solving with one of our engineers.

We move fast and respect your time. The entire process is completed within a week, with an offer following 24 hours after a successful pair-programming round.

Write to us

We are committed to assembling an unrivalled team of builders, artists, technologists, and adventurers who aim to create a new way to explore the world. As an early crew member, you'll have an enormous impact on both our product and company culture .

If you think you'd like to join us, write to us at , with links to your GitHub profile , Devfolio, personal portfolio, , or anything else you think might be relevant.

To truly stand out, we recommend you answer at least two of these questions:

  • List three problems in 21st-century personal finance, and tell us how you would solve them.
  • Are you experienced in deploying machine learning models in production environments? If so, what tools and techniques have you used?
  • What are the most impactful machine learning projects you've worked on?
  • Can you share an example of a complex problem you solved using machine learning techniques?
  • How do you evaluate the performance and interpret the results of your machine learning models?
  • Have you worked with large-scale datasets and distributed computing frameworks for training ML models? If yes, please explain.

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