sennder

Freight and Package Transportation

501-1000

Germany

**sennder is Europe’s 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 department’s mission is to achieve “Automated & Data-Driven Road Logistics”. We’re 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 AI-empowered digitalization wave that is changing our world. We want to attract and train world-class talent to form a incredible group that can provide you the most productive and growth-friendly time of your career._

## WHAT YOU WILL DO …

* Design and maintain scalable ETL and MLOps infrastructure
* Define the new state-of-the-art 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 high-performance large-data processing pipelines from/to multiple sources/destinations;
* Operationalize innovative, data-intensive, end-to-end machine-learning(ML)-based decision engines
* Collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and deliver robust ML solutions that address real-world 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 infrastructure-as-code, 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 problem-solving skills and ability to thrive in a fast-paced, dynamic environment, delivering high-quality solutions respecting deadlines
* T-shaped 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 don’t believe in super-heroes but rather in super-teams: 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 scale-up 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 bi-annual 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 get-togethers such as our highly anticipated sennder .
* Prioritize employee engagement and mental well-being 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 in-office collaboration with your colleagues.
* Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you're properly equipped wherever you work.
* Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan.

## We value humility and we're 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 ta@sennder.com. As soon as you apply your journey with sennder begins.** 

Employee

<p><strong>sennder is Europe’s 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</strong>   <strong>presentation.</strong> </p>
<p><em>We are looking for a Senior Machine Learning Engineer (MLOps) to join our central ML Recommendations team - as part of sennAI department. The department’s mission is to achieve “Automated &amp; Data-Driven Road Logistics”. We’re a large, diverse and multidiscplinary group of ML&amp;AI engineers, data scientists, backend/frontend engineers and technical product people that are passionate by the new AI-empowered digitalization wave that is changing our world. We want to attract and train world-class talent to form a incredible group that can provide you the most productive and growth-friendly time of your career.</em></p>
<h2 id="what-you-will-do-">WHAT YOU WILL DO …</h2>
<ul>
<li>Design and maintain scalable ETL and MLOps infrastructure</li>
<li>Define the new state-of-the-art for machine learning engineering in the road logistics services;</li>
<li>Design and develop health and performance monitoring tools (MLOps) of data pipelines and the machine learning services in production;</li>
<li>Design and improve heterogeneous, asynchronous and high-performance large-data processing pipelines from/to multiple sources/destinations;</li>
<li>Operationalize innovative, data-intensive, end-to-end machine-learning(ML)-based decision engines</li>
<li>Collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and deliver robust ML solutions that address real-world logistics challenges</li>
<li>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</li>
</ul>
<h2 id="what-we-are-looking-for-">WHAT WE ARE LOOKING FOR …</h2>
<ul>
<li>Has extensive experience with one or more orchestration tools (e.g Airflow, Flyte, Kubeflow)</li>
<li>Has experience working with MLOps tools like experiment tracking, model registry tools and feature stores (e.g MLFlow, Sagemaker, Azure MLOps, Feast, Databricks)</li>
<li>Has extensive experience with DevOps focused around data intensive applications. You are comfortable with infrastructure-as-code, you have used the likes of Terraform and Kubernetes extensively;</li>
<li>Has experience building and scaling model serving tools, i.e building APIs with tight SLAs;</li>
<li>Highly motivated with excellent communication and strong interpersonal skills</li>
<li>Solid Python software engineering skills, including best practices like CI/CD and Git</li>
<li>Experience in designing/implementing virtualization services (e.g.: Docker/Kubernetes/Lambda Functions), Microservice architectures and Kafka messaging queues in AWS cloud ecosystem</li>
<li>Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment, delivering high-quality solutions respecting deadlines</li>
<li>T-shaped 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</li>
<li>Teamaholic: We don’t believe in super-heroes but rather in super-teams: teams that own products and are the single unit of work</li>
<li>Experience with Agile philosophies (e.g.: Scrum) and project management tools (e.g.: JIRA, ADO)</li>
<li>Bonus:<br>○ 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;<br>○ 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) *</li>
</ul>
<p>* List of technologies/methodologies is for illustrative purposes. You are not expected to have experience in each single one of these technologies/methodologies.</p>
<p><strong>WHAT YOU CAN EXPECT…</strong></p>
<p>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 </p>
<ul>
<li>Fast growth scale-up 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.</li>
<li>Learning and development on the job and with the support of a bi-annual review process, learning allowance, high potential programs, sennder onboarding academy, and internal trainings.</li>
<li>Various opportunities to connect with colleagues through regular team events and company get-togethers such as our highly anticipated sennder .</li>
<li>Prioritize employee engagement and mental well-being by fostering a supportive environment through the Likeminded platform and conducting regular employee satisfaction surveys.</li>
<li>Hybrid work model where you seamlessly merge virtual productivity and in-office collaboration with your colleagues.</li>
<li>Commuter allowance to assist employees with their daily travel expenses and a one-time home office benefit to ensure that you&#39;re properly equipped wherever you work.</li>
<li>Competitive compensation package including objective-based bonus, referral reward, and in some cases virtual option plan.</li>
</ul>
<h2 id="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">We value humility and we&#39;re 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.</h2>
<p><strong>If you have any questions or need special accommodation please reach out to us at <a target="_blank" rel="noopener nofollow" href="mailto:&#x74;&#x61;&#64;&#x73;&#x65;&#110;&#110;&#100;&#101;&#x72;&#46;&#x63;&#x6f;&#109;">&#x74;&#x61;&#64;&#x73;&#x65;&#110;&#110;&#100;&#101;&#x72;&#46;&#x63;&#x6f;&#109;</a>. As soon as you apply your journey with sennder begins.</strong> </p>


Senior Machine Learning Engineer

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