Senior Data Engineer

Clarity

Greater London, UK

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Computing Security Cluster Analysis Extract Transform Load (ETL) General-Purpose Computing on Graphics Processing Units Monitoring of Systems Python (Programming Language) Machine Learning Cloud Services

+9 more

SQL Databases Systems Integration AI Infrastructure Large Language Models Git Kubernetes Machine Learning Operations Docker Web Api

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., * 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 handy 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., * 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.

About Clarity

Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences.

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.
Bonus Points: Experience with Airbyte is a significant advantage.