Data and Machine Learning (ML) are revolutionizing the way of doing business on a global scale.
Sennder is a European digital freight forwarder with a data-centric problem-solving approach to building the next generation of supply chain and road logistics services.
Do you want to help us shape the future together?
We are looking for a (Senior) MLOps Engineer to join our central Machine Learning Engineering team as part of Sennder's Data department.
The department's mission is to "Relentlessly build exceptional value-adding products that inspire data-centricity in everything Sennder does." We're a large, diverse team of ML/data engineers, data scientists, analysts, and technical product people that are passionate about this mission.
We want to attract and train world-class talent to form an incredible group that aims to provide you with the most productive and growth-friendly time of your career.
All Data department teams are multidisciplinary (e.g.
: data engineering, MLOps, Data Science).
The teams' scope ranges from creating a unique technological backbone for our data platform to developing advanced predictive and prescriptive analytical services.
Our proprietary data platform enables our operation teams to work in a distributed analytics-as-a-service ecosystem where everyone is empowered to be data-driven in every decision they make.
Our predictive and prescriptive analytics services bring us an unprecedented competitive advantage in terms of business automation across the industry.
The obtained insights are then translated into a better customer experience, enabling a scalability flywheel where data and revenues grow exponentially with each other.
Every day, we acquire 3M+ new real-time data points about the cross-region road logistics industry in Europe.
This data is used to build the future of logistics marketplaces where pricing optimization, load-to-carrier recommendation, load search, and network optimization happen in an automated fashion.
Can you even imagine where we can go with your help?
Let's #keepOnTrucking... together!
YOUR MISSION
- Define the new state-of-the-art for machine learning engineering in road logistics services.
- Design and develop health and performance monitoring tools (MLOps) for data pipelines and the machine learning services in production.
- Design and improve heterogeneous, asynchronous, and high-performance large-data processing pipelines from/to multiple sources/destinations.
- Operationalize innovative, data-intensive, end-to-end machine-learning (ML)-based decision engines.
YOUR PROFILE
- Highly motivated with excellent communication and strong interpersonal skills.
- In-depth knowledge and professional working experience with software engineering, ETL pipelines, and setting up machine learning workflows.
- Solid Python software engineering skills, including best practices like CI/CD and Git.
- Experience in designing/implementing virtualization services (e.g.
: Docker/Kubernetes/Lambda Functions), microservices architectures (e.g.
: RESTful API with Flask), and Kafka messaging queues in AWS cloud ecosystem.
- T-shaped mindset: actual expertise in a single area but the ownership/willingness to contribute to the product end-to-end to ensure a healthy value creation chain.
- Team-oriented.
- Experience with Agile philosophies (e.g.
: Scrum, Scrumban, Kanban, XP) and project management tools (e.g.
: JIRA).
- Fluent written and verbal communication in English.
BONUS
- 2+ years of experience in deploying and maintaining in production data pipelines working at scale which are fueling and/or being fueled by machine learning models in production.
- Basic understanding of machine learning product lifecycle and the commonly associated components (MLOps): Experimental Environment (e.g.
: Jupyter Notebook, MLflow), Workflow management (e.g.
: Airflow), Feature Stores (e.g.
: Feast), DataOps/Pipelines (e.g.
: Kafka), Model Deployment (e.g.
: Terraform), Testing, Serving (e.g.
: Docker, Flask), and Monitoring (e.g.
: Datadog), Model Repository (e.g.
: DVC).
**List of technologies/methodologies is for illustrative purposes.
You are not expected to have experience in each single one of these technologies/methodologies.
**
ABOUT SENNDER
Sennder is moving trucks with the power of data to unlock endless and sustainable capacity at unparalleled quality.
Through our proprietary transportation operating system, built by our in-house tech teams, we not only connect shippers to our fleet of thousands of trucks, but also improve how they move products in sustainable, cost-efficient, and transparent ways - making the logistics industry fit for the future.
In a traditional industry, we're growing and moving fast to digitally automate all road logistics processes.
We are building a curious team that is driven by an ambitious vision.
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