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Lead Engineer - Canada - Scribble Data
1 week ago
Description
About Scribble DataScribble 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.
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. Scribble Data customers trust them with their data and the outputs and expect cutting-edge tools and thought processes.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.
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.
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.
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.
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.
~ Bachelors/Masters in Computer Science.
Experience in building data infrastructure / systems for data workflow management.
Experience working in data-heavy applications
Lambda), streaming data (e.g. Experience with big data technologies like map-reduce, NoSQL, Spark, HBase, and Hive.
Experience with data security protocols and data access controls.
Python and SQL
Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.)
Primarily remote work
A work culture that helps you innovate and evolve continuously
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 enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices
Technical Interviews: - 4 rounds