Senior MLOps Engineer, Talon.One
Marketing promotion software company
Be an early applicant
Marketing promotion software company
201-500 employees
Be an early applicant
201-500 employees
Company mission
To streamline the process for brands to run and scale their incentive campaigns.
Role
Who you are
- 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., TensorFlow, PyTorch, 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 the job involves
- We're a passionate cross-functional team of engineers, a data scientist, a product manager, and an engineering manager, dedicated to all things data
- You'll be at the centre of our expanding AI Innovation team
- We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices
- Our team is set to grow soon, welcoming MLOps engineers, Data Scientists, Backend Engineers and Frontend Engineers, all playing a pivotal role in Talon
- One's development
- We are seeking a Senior MLOps Engineer to join our growing AI Innovation 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, software developers, and DevOps teams to streamline the machine learning lifecycle and bring cutting-edge solutions into production
- 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
Our take
Paradoxical to its mission statement of creating developer-free promotion tools for companies, Talon.one was actually founded by several software developers. Boosted by a hard-hitting client list that includes Mercedes, Delivery Hero, and Adidas, Talon.one initiates and automates loyalty programs, discount campaigns and coupon offers for product-oriented businesses.
In 2022, Talon.one partnered with Big Commerce to offer promotion engine features to Jimmy Brings, an Australian alcohol delivery company. This collaboration with Big Commerce, alongside other companies involved in the project, highlights Talon.one's integration capabilities. It demonstrates the flexibility of Talon.one as it collaborated effectively with various software companies, showcasing its extensive potential in promotion tools.
Talon.one has a varied product service that includes coupon, referral, gift card, and loyalty software as well as product bundles and wallet solutions. It’s this variety that makes them such good partners on larger promotion strategies, as long as the quality remains rounded across all its products.
Steph
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2025
$135m
LATE VC
Dec 2018
$3.5m
SERIES A
Total funding: $138.5m
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Christoph Gerber
(CEO)Currently Shareholder at adjust.com, AirHelp and Customer Alliance.
Sebastian Haas
(COO)Previously Founder of RapidApe, Marketing Consultant at Team Europe Ventures, and CMO at Surprise Internet GmbH.
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