Senior Data Engineer

Open Data Science
London
4 months ago
Applications closed

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Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes.

About the company

Company Anecdote / anecdoteai.com

Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth.

We are backed by top investors, including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $3.5m to date.

Responsibilities

  • Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.
  • Own the Integrations: Implement new connections and be the master and owner of these integrations.
  • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.
    • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries.
  • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.
  • Develop Monitoring Systems: Create and support robust models for monitoring.
  • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.

Requirements

  • Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.
  • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions.
  • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.
  • Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus.
  • Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing.
  • LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek.
  • Bonus Points: Experience with Airbyte and Elastic Search is a significant advantage.

Working conditions

Perks and Benefits:

  • Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.
  • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.
  • Generous Vacation: Benefit from our comprehensive vacation policy.
  • Growth Opportunities: Access continuous professional development and growth support.
  • Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture.
  • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.


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