Lead Engineer

4 weeks ago

Anywhere in IndiaMultiple Locations SortedHat Full time

About the Company :

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.

About the Role :

ScribbleData 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.

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.

What we are looking for:

- 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.

Nice to haves :

- 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.

(ref:hirist.tech)

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