Senior MLOps Engineer

Talon.One; Berlin; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A technology company in Berlin is seeking a Senior MLOps Engineer to enhance their Intelligence Platform team. You will design and develop MLOps infrastructure and workflows for machine learning models, collaborating closely with data scientists and engineers. Ideal candidates will have extensive experience in software engineering and MLOps, along with strong programming skills in Python and familiarity with cloud platforms. This role offers a flexible working environment and numerous employee benefits including a learning budget and additional leave days.

Leistungen

€1,000 annual learning budget

30 days of annual leave

Home office setup budget

Mental health support

20% company subsidy on pension contributions

Discounted public transport ticket

Qualifikationen

• Experience deploying and managing machine learning systems at scale.
• Building or maintaining scalable ML infrastructure.
• Strong programming skills in Python.

Aufgaben

• Build and maintain MLOps pipelines for ML models.
• Design scalable infrastructure using cloud platforms.
• Implement CI/CD for ML models.

Kenntnisse

MLOps pipelines

Cloud infrastructure

Kubernetes

Docker

CI/CD

Python

Google Cloud Platform

Ausbildung

6+ years experience in software engineering

3+ years in MLOps

Tools

Vertex AI

MLflow

Kubeflow

Airflow

SageMaker

Jobbeschreibung

ABOUT THE TEAM:

We're a passionate cross‑functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.

ABOUT THE ROLE:

We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting‑edge solutions into production.

ONCE YOU ARE HERE, YOU WILL:

• Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
• Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
• Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
• Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
• Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
• Maintain model registries, metadata tracking, and experiment management tools.
• Advocate for and help implement best practices in MLOps across the organization.
• Ensure compliance with security, governance, and ethical AI guidelines.

WHAT WE EXPECT YOU TO BRING TO THE TABLE:

• 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
• Experience deploying and managing machine learning systems at scale, preferably in high‑availability, real‑time environments with low latency and high throughput.
• Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto‑scaling, load balancing, blue‑green deployment, canary releases, shadow testing, etc.).
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit‑learn).
• Proficiency with Google Cloud Platform and infrastructure‑as‑code tools like Terraform.
• Hands‑on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing monitoring and alerting systems for ML pipelines and APIs.

WHAT'S IN IT FOR YOU:

• A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
• Leaders with 8+ years of experience building our promotions engine
• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget, a monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide!
• Mental health support with nilo.health and a discounted Urban Sports Club membership
• 20% company subsidy on your pension contributions
• Discounted BVG public transport ticket and bring along your furry friend to our dog‑friendly Berlin office!
• Lease your ideal bike through BusinessBike

WHY YOU SHOULD WORK FOR US:

• The right attitude: modern methods and a diverse, creative workspace with an open and international culture
• Everyone for the product: Together we create a flexible, highly scalable product with state‑of‑the‑art technologies. We can only succeed if everyone works as a team
• Healthy Growth: Growing our company means growing everyone in the team. We love to share knowledge and learn
• A great environment: Flexible and family‑friendly environment, bright and easily accessible offices, modern software and hardware
• High flexibility degree: Prefer to work early or late at night? Do you have to pick up your children from kindergarten? Do you prefer working abroad? We believe in results and motivated employees

DO YOU WANT THIS JOB?

We’d love to hear from you! Apply directly via the form below.

Talon.One is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make employment decisions on the basis of race, color, religious belief, ethnic origin, nationality, sex, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy. As an employer we strive for a healthy and safe workplace and strictly prohibit harassment of any kind.

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