Senior Machine Learning Engineer

Zendesk; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading customer experience company in Germany seeks a Senior ML engineer to enhance their RAG platform. The role involves delivering AI capabilities at scale, collaborating with cross-functional teams, and mentoring junior members. Ideal candidates have 4+ years of experience in machine learning systems, proficiency in Python, and cloud services management knowledge. This position offers opportunities for impactful work with LLMs and a remote-friendly environment.

Leistungen

Exciting opportunity in AI

Ownership of product features

Comfortable office

Remote-friendly environment

Qualifikationen

• 4+ years developing machine learning systems in Python.
• Solid understanding of architecture and software design patterns.
• Experience with managing and deploying cloud services.

Aufgaben

• Deliver AI-powered capabilities to customers using LLM technology.
• Work closely with Product Management and ML Scientists.
• Mentor junior team members and foster mutual learning.

Kenntnisse

Machine learning systems development

Python programming

Cloud service management

Collaboration

Problem-solving

Excellent communication skills

Tools

AWS

Kubernetes

Docker

RDS MySQL

Redis

ElasticSearch

Kafka

Sentry

Datadog

Jobbeschreibung

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Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.

We’re looking for a Senior ML engineer to join our team and play a key role in levelling up the RAG platform powering Zendesk!

What you’ll be doing

Delivering AI-powered capabilities to our customers at Zendesk scale using the latest in LLM technology

Working closely with Product Management, ML Scientists and other ML Engineers to define feature scope and implementation strategies

Mentoring junior team members, as well as pairing with more experienced colleagues to foster mutual learning

Supporting our deployed services to ensure a high level of stability and reliability

Contributing to discussions regarding technical design and best practices

Writing clean and maintainable code to meet the team’s delivery commitments

Here some of the challenges you will be working on:

How do we best expand our RAG platform to handle new use cases?

How do we optimize our system for both speed and cost-efficiency?

How do we incorporate multiple sources of context to improve the accuracy of our generated answers?

How do we make the best use of rapidly evolving LLM technologies?

And many more!

What you bring to the role

Basic Qualifications

4+ years developing machine learning systems in Python

Solid understanding of architecture and software design patterns for server-side applications

Experience with managing and deploying cloud services with a cloud provider (AWS, GCP, Azure)

Experience building scalable and stable software applications

Collaborative and growth mindset, with a commitment to ongoing learning and development

Self-managed and agile, with the ability to problem-solve independently

Excellent communication skills, both written and verbal

Preferred Qualifications

Experience with using LLMs at scale

Experience in designing and implementing RAG systems

Experience with managing and deploying cloud services with AWS

Proven experience making data-driven engineering decisions; formulating hypotheses, conducting experiments, and analyzing results.

What our tech stack looks like

Our code is largely written in Python, with some parts in Ruby

Our platform is built on AWS

Data is stored in RDS MySQL, Redis, S3, ElasticSearch, Kafka, and Athena

Services are deployed to Kubernetes using Docker, with Kafka for stream processing

Infrastructure health is monitored using Datadog and Sentry

What we offer

Team of passionate people who love what they do!

Exciting opportunity to work with LLMs and RAG (retrieval augmented generation), rapidly evolving fields in AI

Ownership of the product features at scale, making a significant impact for millions of customers

Opportunity to learn and grow!

Possibility to specialise in areas such as security, performance, and reliability

...and everything you need to be effective and maintain work-life balance

Comfortable office and a remote-friendly environment