Senior Data Engineer

Open Data Science; London; Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative AI-first startup is seeking a Senior Data Engineer to enhance their AI pipeline. In this role, you'll integrate and manage numerous data connections, ensuring reliability and scalability. You'll optimize AI workflows and host NLP models for real-time analysis, contributing to the development of cutting-edge solutions. This role offers the chance to work fully remotely, with flexible hours and opportunities for professional growth. Join a dynamic team that values innovation and collaboration, and be part of a company that's transforming how businesses leverage customer feedback for actionable insights.

Benefits

Fully Remote

In-person Meetups

Generous Vacation

Growth Opportunities

Dynamic Culture

Stock Options

Qualifications

• Strong Python skills with experience in building production services.
• Experience with SQL, ETL, and data modeling for ML solutions.

Responsibilities

• Integrate and manage hundreds of data integrations.
• Optimize AI pipelines and host NLP models for inference.

Skills

Python

Machine Learning

Data Pipelining

SQL

APIs

Cloud Networking

Docker

Kubernetes

AWS

GCP

Tools

Sagemaker

Vertex

Triton

Elastic Search

Airbyte

Job description

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.