Scribble Data is a machine learning and generative AI company, helping enterprises build AI-powered data products for advanced analytics. Our flagship product, the Enrich Intelligence platform, enables data preparation and lightweight ML algorithm execution. Our newly launched Hasper engine sits atop Enrich to make it a full-stack LLM data products platform. Backed by Blume Ventures, we enable organizations to unlock the true potential of data with secure hosting options that ensure trust, reliability, and data integrity.

To learn more, visit our website at https://www.scribbledata.io/

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<div style="text-align: center;"><br></div><div style="text-align: justify;"><strong>About Scribble Data </strong></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">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.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">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.</span></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">For added security and trust, Hasper offers various secure hosting options for customers, ranging from on-premise to virtual private cloud.</span></div><div style="text-align: center;"><br></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong>About the Product</strong></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">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.</span></div><div style="text-align: justify;"><br></div><div style="text-align: center;"><br></div><div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">About the Role</strong></div><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">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 solution architect, you will own the delivery and customer success end-to-end. Your responsibilities will include:</span></div><div style="text-align: justify;"><br></div><ul><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Help potential customers frame their problems into the scope for PoCs and build and own the PoCs atop Hasper with high attention-to-detail&nbsp;</span></li><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Ensuring trust, robustness, performance, and ease of use of the platform in each customer’s context, and depending on the size of the individual customer engagement</span></li><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Building long-term customers and championing solutions developed by ScribbleData team and traveling to customer locations&nbsp;where needed</span></li><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Incorporate customer feedback and new asks from customers into ongoing deliverables</span></li><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Potentially lead a team of engineers and vendors</span></li><li style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Track and research emerging trends as well as competitors, thereby creating feedback loops for the product team.&nbsp;</span></li></ul><div><br></div><div><strong>Requirements</strong></div><div><br></div><ul><li style="text-align: justify;">Masters degree or higher in Computer Science with exposure to&nbsp;statistics</li><li style="text-align: justify;">8+ years of industry experience owning, building, and shipping enterprise grade data-based solutions to production is a must</li><li style="text-align: justify;">Proven track record in system engineering / backend development for data-based use cases using Python</li><li><span style="color: rgb(102, 102, 102);">Strong algorithmic and data structure skills</span></li><li style="text-align: justify;">Comfortable with big data technologies like map-reduce, noSQL, Spark, HBase, Hive</li><li style="text-align: justify;">Strong communication and collaboration skills to work with stakeholders from different backgrounds</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">Skills that will give you an edge</strong></div><div style="text-align: justify;"><br></div><ul><li style="text-align: justify;">Having built and shipped a product at a startup</li><li style="text-align: justify;">Experience in developing and implementing Machine Learning algorithms for multiple among entity matching, recommendation systems, search systems, natural language understanding etc.&nbsp;</li><li style="text-align: justify;">Proficient with Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.) and SQL&nbsp;</li><li><span style="color: rgb(102, 102, 102);">Experience with Langchain or other LLM development frameworks</span></li><li style="text-align: justify;">Experience with deep learning frameworks like Tensorflow, Keras, PyTorch, etc.</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">Product Technology Stack</strong></div><div style="text-align: justify;"><br></div><ul><li style="text-align: justify;">Python and SQL</li><li style="text-align: justify;">Python data science libraries (pandas, numpy, scikit-learn, spacy, etc.)</li><li style="text-align: justify;">Deep learning frameworks like Tensorflow, Keras, PyTorch, etc</li><li style="text-align: justify;">R, Matlab</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">We want you to know</strong></div><div style="text-align: justify;"><br></div><ul><li style="text-align: justify;">Primarily remote work</li><li style="text-align: justify;">A work culture that helps you innovate and evolve continuously</li><li style="text-align: justify;">A chance to shape the future of ML, marrying it with generative AI</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><strong style="color: rgb(0, 0, 0);">Does this sound like you?</strong></div><div style="text-align: justify;"><br></div><ul><li style="text-align: justify;">You like adventure and have a stomach for learning and unlearning every day</li><li style="text-align: justify;">You are excited by powering up a whole generation of upcoming data applications</li><li style="text-align: justify;">You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively</li><li style="text-align: justify;">You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements</li><li style="text-align: justify;">You have the discipline to take audacious goals and break down years-long roadmaps into near term deliverables that provide value to business stakeholders</li><li style="text-align: justify;">You enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices</li><li style="text-align: justify;">You are comfortable selling to customers (not a biggie)</li><li style="text-align: justify;">You have a sense of humour</li></ul><div style="text-align: justify;"><br></div><div><strong style="color: rgb(0, 0, 0);">What to expect when you apply</strong></div><div><br></div><ul><li style="text-align: justify;">Introductory round with leadership</li><li style="text-align: justify;">Take Home assignment taking 3-5 hours&nbsp;</li><li style="text-align: justify;">Technical Interviews: 3 - 4 rounds</li><li style="text-align: justify;">Offer discussion</li></ul><div style="text-align: justify;"><br></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Interested?&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Send us your resume at hello@scribbledata.io&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">&nbsp;</span></div><div style="text-align: justify;"><span style="color: rgb(102, 102, 102);">Know of someone else who you think should see this? Spread the word. Tell that friend who is perfect for this role.</span></div><div style="text-align: justify;"><br></div>