Technology, Information and Internet

delphai

11-50

Germany

## Your mission

# Who we are looking for

We are looking for someone who is passionate about technology, with a track record of success in building and supporting complex digital solutions. You should have a strong understanding of end-to-end machine learning lifecycles as well as proficiency in deploying natural language processing solutions at scale. You should also be a collaborative team player, with excellent communication skills and the ability to work effectively with cross-functional teams.

This is a full-time position with the opportunity to work hybrid in our office in Berlin.

# Tasks

* Apply your knowledge and expertise in data processing, refinement and natural language processing (NLP) techniques that leverage our unique firmographics data
* Implement innovative, scalable machine learning models that can be used in production
* Build and own end-to-end machine learning lifecycle from data exploration, design, training, and testing to model deployment and metric monitoring.
* Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems. This includes encouraging best practices in engineering with regards to design and coding.
* Closely collaborate with a talented cross-functional team of other machine learning, data science, MLOps, and software engineers to bring your models to life.

## Your profile

# Required:

* Completed bachelor's or master’s degree in computer science, computational linguistics, statistics, engineering, or a related field
* 3+ years of hands-on experience developing and deploying ML and DL models in production and developing applications using AI and NLP in a professional industrial setting  
   * e.g. Deployment technologies: FastAPI, Flask, grpc microservices, Kubernetes K8s
* Strong proficiency in Python and common ML frameworks and tools, libraries, data structures, and data modeling
* Experience working with large language models (LLMs): prompt engineering, fine-tuning and language model programming.
* Stay up-to-date with state-of-the-art NLP breakthroughs, models, and architectures

# Nice to have:

* Hands-on experience working with vector databases (e.g., Weaviate, Milvus, Qdrant)
* Experience with knowledge graphs (RDF or property graphs)

The successful candidate is proactive, self-motivated, and adaptable, thriving in a fast-paced startup setting with a strong passion for technology. Committed to continuous learning and improvement, they excel in communication, end-to-end thinking, and collaboration, enabling effective work with cross-functional teams.

## Why us?

* High level of responsibility and autonomy: You will have the opportunity to take ownership of projects and initiatives with the support of a collaborative team and a steep learning curve to develop your skills further.
* Generous educational budget: We are committed to investing in our employees' professional development and provide a generous educational budget to support your personal career goals.
* Flat hierarchies and short decision paths: Our organizational structure is designed to promote collaboration, innovation, and fast decision-making, with a flat hierarchy and short decision paths.
* Generous paid time off: We believe in the importance of work-life balance and offer five weeks of paid vacation each year, in addition to public holidays.
* Flexible working arrangements: We recognize the value of flexibility and offer flexible working hours to support our employees' diverse needs and lifestyles

Employee

Professional / Experienced

<h2 id="your-mission">Your mission</h2>
<h1 id="who-we-are-looking-for">Who we are looking for</h1>
<p>We are looking for someone who is passionate about technology, with a track record of success in building and supporting complex digital solutions. You should have a strong understanding of end-to-end machine learning lifecycles as well as proficiency in deploying natural language processing solutions at scale. You should also be a collaborative team player, with excellent communication skills and the ability to work effectively with cross-functional teams.</p>
<p>This is a full-time position with the opportunity to work hybrid in our office in Berlin.</p>
<h1 id="tasks">Tasks</h1>
<ul>
<li>Apply your knowledge and expertise in data processing, refinement and natural language processing (NLP) techniques that leverage our unique firmographics data</li>
<li>Implement innovative, scalable machine learning models that can be used in production</li>
<li>Build and own end-to-end machine learning lifecycle from data exploration, design, training, and testing to model deployment and metric monitoring.</li>
<li>Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems. This includes encouraging best practices in engineering with regards to design and coding.</li>
<li>Closely collaborate with a talented cross-functional team of other machine learning, data science, MLOps, and software engineers to bring your models to life.</li>
</ul>
<h2 id="your-profile">Your profile</h2>
<h1 id="required">Required:</h1>
<ul>
<li>Completed bachelor&#39;s or master’s degree in computer science, computational linguistics, statistics, engineering, or a related field</li>
<li>3+ years of hands-on experience developing and deploying ML and DL models in production and developing applications using AI and NLP in a professional industrial setting  <ul>
<li>e.g. Deployment technologies: FastAPI, Flask, grpc microservices, Kubernetes K8s</li>
</ul>
</li>
<li>Strong proficiency in Python and common ML frameworks and tools, libraries, data structures, and data modeling</li>
<li>Experience working with large language models (LLMs): prompt engineering, fine-tuning and language model programming.</li>
<li>Stay up-to-date with state-of-the-art NLP breakthroughs, models, and architectures</li>
</ul>
<h1 id="nice-to-have">Nice to have:</h1>
<ul>
<li>Hands-on experience working with vector databases (e.g., Weaviate, Milvus, Qdrant)</li>
<li>Experience with knowledge graphs (RDF or property graphs)</li>
</ul>
<p>The successful candidate is proactive, self-motivated, and adaptable, thriving in a fast-paced startup setting with a strong passion for technology. Committed to continuous learning and improvement, they excel in communication, end-to-end thinking, and collaboration, enabling effective work with cross-functional teams.</p>
<h2 id="why-us">Why us?</h2>
<ul>
<li>High level of responsibility and autonomy: You will have the opportunity to take ownership of projects and initiatives with the support of a collaborative team and a steep learning curve to develop your skills further.</li>
<li>Generous educational budget: We are committed to investing in our employees&#39; professional development and provide a generous educational budget to support your personal career goals.</li>
<li>Flat hierarchies and short decision paths: Our organizational structure is designed to promote collaboration, innovation, and fast decision-making, with a flat hierarchy and short decision paths.</li>
<li>Generous paid time off: We believe in the importance of work-life balance and offer five weeks of paid vacation each year, in addition to public holidays.</li>
<li>Flexible working arrangements: We recognize the value of flexibility and offer flexible working hours to support our employees&#39; diverse needs and lifestyles</li>
</ul>


(Senior) Machine Learning Engineer (NLP) (m/w/d)

AtomLeap logo

Google {privacyLink} and {termsLink} apply.

Benefits

Media

We don't have any open positions at the moment

No available jobs

Offices

Open positions

Values

Videos

Do you have a question?

Spontaneous Application

We’ll send a link to this job to your email.

No time? Just apply later

We are reviewing your account. Once our managers approve it, candidates will be able to apply for this job.

Changes are not visible until you publish your job.

This is a preview of your job ad.

Interested?

The job {jobTitle} was archived or the deadline has passed.

This job is no longer available

Recruiting Team

Our other open positions

We no longer accept spontaneous applications

Are you a talented professional seeking your next career adventure? At {companyName}, we appreciate proactive individuals who can bring a fresh perspective to our team.

While we may not have an immediate job opening that precisely matches your needs, your distinctive experiences and talents might be an excellent fit for us in the future.

To submit your spontaneous application, please use the application form on the right to upload your CV and cover letter. Ensure that you mention your desired position in the cover letter.

Rest assured, our dedicated recruiting team will reach out to you once they identify a role that aligns perfectly with your skills and aspirations.

How to apply

Looking for a job at {companyName}? JOIN works directly with {companyName} to bring you all their open positions. Apply now with JOIN.com.

Jobs at {companyName}. Browse all open positions and become part of our team! Open positions: {jobsCount}

Jobs at {companyName}. Browse our open jobs and join us! We currently have {jobsCount} available jobs. Step up your career and apply today!

Jobs at {companyName}. Browse all our open positions and become part of our team! We have currently {jobsCount} jobs available. Apply today to join us!

Jobs at {companyName}. Browse all open positions and become part of our team! We are currently looking for {jobsCount} additions to our company. Apply today!

Jobs at {companyName}. Browse all open positions and become part of our growing team! We are currently looking for {jobsCount} additions to our company. Apply today!

Jobs at {companyName}. Browse all our open positions and become part of our growing team! We are currently looking for {jobsCount} additions to our company. Apply today!

Browse all our open positions and become part of our team! We are looking for {jobsCount} additions to our company. Take the next step in your career and apply today!

No suitable positions available at {companyName}? Don't wait! Submit a spontaneous job application today and unlock your career possibilities tomorrow.