About Scribble Data

Scribble Data is a generative AI (GenAI), machine learning (ML), and advanced analytics data products platform company. It focuses on the Annuities and Pension Risk Transfer (PRT) segments of the Insurance industry in the US, Canada, and UK.

Hasper - Scribble Data's flagship product, is designed to implement and transform internal-facing complex workflows to streamline insurance operations, enable actuarial work, and accelerate decision-making. It enables businesses to utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining ML with a built-in rules engine. It provides a full-stack solution for data preparation and lightweight ML algorithm execution, coupled with a low-code consumption interface designed for business users.

For added security and trust, Hasper offers various secure hosting options for customers, ranging from on-premise to virtual private cloud.

About the Product

Hasper is a full-stack solution in Python that enables customers to build internal-facing data products and workflows using LLMs and MLRS (ML at Reasonable Scale) robustly and quickly. It trades scale of data for speed of development and deployment, strong auditability, and lower skill. With the tradeoffs, Hasper is able to deliver 5x speed-up over existing development processes and tools, and enables end-to-end productionisation of use cases with a remarkably high success rate.

About the Role

Scribble Data customers trust them with their data and the outputs and expect cutting-edge tools and thought processes. The product is at the center of the relationship with customers. We work smart, invest in tools and tech that are on the cutting edge of advanced analytics, and package all that we’ve learnt about efficiency and data mileage into our products.

As a Lead Engineer, you will work on extending functionality for Hasper. Your role will also include delivering working systems atop Hasper for Scribble’s customers with high attention-to-detail ensuring trust, robustness, performance, and ease of use. Your responsibilities will include:

Develop high-performance data processing systems.
Develop and deploy robust, distributed, scalable, near real-time, data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support.
Incorporate customer feedback and new asks from customers into ongoing deliverables.
Accept nothing less than top-quality code and think in terms of code reviews, unit, integration, end-to-end tests in a fast-moving development environment, delivering incremental value daily.
Track and research emerging trends as well as competitors, thereby creating feedback loops for the product team.

Requirements

5+ years industry experience in backend development
Fluency in Python; you know the language and its quirks, not having just written scripts.
Strong command of SQL.
Strong understanding of computer science concepts (OOD, algorithm design, data structures, algorithms, execution, and memory optimization).
Strong software engineering skills, system-level thinking, and problem-solving ability paired with the love to build and ship robust code.
Experience developing and publishing APIs using web services.
Strong communication and collaboration skills to work with stakeholders from different backgrounds.
Bachelors/Masters in Computer Science.

Skills that will give you an edge

Having built a product at a start-up.
Experience in building data infrastructure / systems for data workflow management.
Experience in full-stack development.
Experience working in data-heavy applications
Fluency with Pandas
Experience using at least some among distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), and scalable search (e.g. Elasticsearch).
Experience with big data technologies like map-reduce, NoSQL, Spark, HBase, and Hive.
Experience with data security protocols and data access controls.

Product Technology Stack

Python and SQL
Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.)
Deep learning frameworks like Tensorflow, Keras, PyTorch, etc
R, Matlab

We want you to know

Primarily remote work
A work culture that helps you innovate and evolve continuously
A chance to shape the future of ML, marrying it with generative AI
Financial services domain that is career defining

Does this sound like you?

You like adventure and have a stomach for learning and unlearning every day
You are excited by powering up a whole generation of upcoming data applications
You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively
You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements
You have the discipline to take audacious goals and break down years-long roadmaps into near term deliverables that provide value to business stakeholders
You enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices
You are comfortable selling to customers (not a biggie)
You have a sense of humour

What to expect when you apply

Introductory round with leadership
Take Home assignment taking 3-5 hours
Technical Interviews: 3 - 4 rounds
Offer discussion

Interested?

Send us your resume at hello@scribbledata.io

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