Location
Us, 50250 | France
Job description
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 Datas flagship product is designed to implement and transform internalfacing complex workflows to streamline insurance operations enable actuarial work and accelerate decisionmaking. It enables businesses to utilize large language models (LLMs) to bridge the gap between decision workflows and natural language combining ML with a builtin rules engine. It provides a fullstack solution for data preparation and lightweight ML algorithm execution coupled with a lowcode consumption interface designed for business users.
You can read more about the company at
About the Role:
Scribble Data customers trust them with their data and the outputs and expect cuttingedge tools and thought processes. The product is at the center of the relationship with customers.
As a Solution Architect you will own the delivery and customer success endtoend. Your responsibilities will include:
- Help potential customers frame their problems into the scope for PoCs and build and own the PoCs atop Hasper with high attentiontodetail.
- 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.
- Building longterm customers and championing solutions developed by Scribble Data team and traveling to customer locations where needed.
- Incorporate customer feedback and new asks from customers into ongoing deliverables.
- Potentially lead a team of engineers and vendors.
- Track and research emerging trends as well as competitors thereby creating feedback loops for the product team.
What we are looking for:
- Bachelors/Masters degree or higher in Computer Science with exposure to statistics
- 8 years of industry experience owning building and shipping enterprise grade databased solutions to production
- Proven track record in system engineering / backend development for databased use cases using Python.
- Strong algorithmic and data structure skills.
- Comfortable with big data technologies like mapreduce NoSQL Spark HBase Hive.
- Strong communication and collaboration skills to work with stakeholders from different backgrounds.
Nice to haves:
- Having built and shipped a product at a startup
- Experience in developing and implementing Machine Learning algorithms for multiple among entity matching recommendation systems search systems natural language understanding etc.
- Proficient with Python data science libraries (pandas numpy scikitlearn spacy etc.) and SQL
- Experience with Langchain or other LLM development frameworks
- Experience with deep learning frameworks like Tensorflow Keras PyTorch etc.
python,backend development,sql
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