Senior Machine Learning Engineer

sennder is Europes leading digital freight forwarder. In a traditional industry we are moving fast to digitize and automate all road logistics processes. We move trucks with courage and the power of data to unlock endless and sustainable capacity at exceptional quality. Get to know us better by reviewing our presentation.

We are looking for a Senior Machine Learning Engineer (MLOps) to join our central ML Recommendations team as part of sennAI department. The departments mission is to achieve Automated & DataDriven Road Logistics. Were a large diverse and multidiscplinary group of ML&AI engineers data scientists backend/frontend engineers and technical product people that are passionate by the new AIempowered digitalization wave that is changing our world. We want to attract and train worldclass talent to form a incredible group that can provide you the most productive and growthfriendly time of your career.

WHAT YOU WILL DO

• Design and maintain scalable ETL and MLOps infrastructure
• Define the new stateoftheart for machine learning engineering in the road logistics services;
• Design and develop health and performance monitoring tools (MLOps) of data pipelines and the machine learning services in production;
• Design and improve heterogeneous asynchronous and highperformance largedata processing pipelines from/to multiple sources/destinations;
• Operationalize innovative dataintensive endtoend machinelearning(ML)based decision engines
• Collaborate with crossfunctional teams to understand business requirements translate them into technical specifications and deliver robust ML solutions that address realworld logistics challenges
• Mentor junior team members sharing your expertise and best practices in ML engineering MLOps and software development to foster a culture of learning and innovation within the team

WHAT WE ARE LOOKING FOR

• Has extensive experience with one or more orchestration tools (e.g Airflow Flyte Kubeflow)
• Has experience working with MLOps tools like experiment tracking model registry tools and feature stores (e.g MLFlow Sagemaker Azure MLOps Feast Databricks)
• Has extensive experience with DevOps focused around data intensive applications. You are comfortable with infrastructureascode you have used the likes of Terraform and Kubernetes extensively;
• Has experience building and scaling model serving tools i.e building APIs with tight SLAs;
• Highly motivated with excellent communication and strong interpersonal skills
• 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) Microservice architectures and Kafka messaging queues in AWS cloud ecosystem
• Excellent problemsolving skills and ability to thrive in a fastpaced dynamic environment delivering highquality solutions respecting deadlines
• Tshaped mindset: actual expertise on a single area but the ownership/willingness to contribute to the product end to end in order to ensure a healthy value creation chain
• Teamaholic: We dont believe in superheroes but rather in superteams: teams that own products and are the single unit of work
• Experience with Agile philosophies (e.g.: Scrum) and project management tools (e.g.: JIRA ADO)
• Bonus:
  2 years of experience in deploying and maintaining in production data pipelines working at scale which are fuelling 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 Server) Experimental Tracking (e.g.: Weights and Biases) Workflow management (e.g.: Flyte Airflow) Feature Stores (e.g.: Feast Tecton) DataOps/Pipelines (e.g.: Kafka RabbitMQ Fivetran) Model Deployment (e.g.: Terraform) Training (e.g.: Ray) Testing (e.g.: Great Expectations) Serving (e.g.: BentoML) Monitoring (e.g.: Datadog) and Repositories (e.g.: DVC AWS S3) *

* List of technologies/methodologies is for illustrative purposes. You are not expected to have experience in each single one of these technologies/methodologies.

WHAT YOU CAN EXPECT

At sennder we want to maximize the individual potential of all employees and reinforce an inclusive culture and environment of continuous learning that empowers people to succeed as a team. In addition to humility we value commitment team spirit and respect to build fruitful collaboration across teams. Learn more about who we are on

• Fast growth scaleup with an international team of 1000 people 74 nationalities spread across 11 European offices. With English as our common language we are able to work together.
• Learning and development on the job and with the support of a biannual review process learning allowance high potential programs sennder onboarding academy and internal trainings.
• Various opportunities to connect with colleagues through regular team events and company gettogethers such as our highly anticipated sennder .
• Prioritize employee engagement and mental wellbeing by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.
• Hybrid work model where you seamlessly merge virtual productivity and inoffice collaboration with your colleagues.
• Commuter allowance to assist employees with their daily travel expenses and a onetime home office benefit to ensure that youre properly equipped wherever you work.
• Competitive compensation package including objectivebased bonus referral reward and in some cases virtual option plan.

We value humility and were as interested in your character as we are in your talent. Please apply even if you feel you only meet part of our listed criteria. Diversity drives our innovation and we offer a collaborative dynamic and international work environment. Just be yourself. We are excited to meet you and for you to join us in shaping the future of the logistics industry in Europe.

If you have any questions or need special accommodation please reach out to us at As soon as you apply your journey with sennder begins.