NOMOKO

Technology, Information and Internet

Nomoko AG

11-50

HR Manager

Full-time (permanent)

Spain

Hi, we are NOMOKO, a start-up on a mission to create a unique Digital Twin platform combining the power of innovative tech solutions and 3D that will transform real estate. And this is just the beginning.

Are you thinking of the Al, data visualization, visual detection? **This is as high-tech as it can get! We use** tech stack: Python, Numpy, Scipy, Scikit-learn, Pandas, Airflow, AWS, PostGIS, Gitlab CI. **Would you also like to be part of it with a flexible schedule?**

_We strive to be both efficient and transparent - our recruitment processes typically take place within 3.5 weeks, from the first to the final interview, depending on the position you are applying for._

**Would you like to support our Data Team with our Praedia?** Praedia is a free-to-use web platform built by Nomoko. It brings digital transformation to businesses of every size operating at any scale.

## Tasks

**Interesting Challenges Ahead Of You:**

*   Develop machine learning prototypes and deploy them as integrated solutions after rigorous testing
*   Maintain best practices for data cleaning and transformation, feature selection, model selection and model deployment, including documentation and versioning
*   Govern the versioning of the models, ensure the quality of deployed models, monitor model drifting for performance and reliability

## Requirements

Experience in deploying machine learning and deep learning solutions in productions, in building machine learning pipelines and in monitoring model performance and model and data drift. l as deep learning models. You will also have worked with frameworks such as Pytorch, Tensorflow, or Keras. You know SQL, preferably PostgreSQL and PostGIS.

_Nice to have:_

*   Experience in deploying machine learning and deep learning solutions in productions, in building machine learning pipelines and in monitoring model performance and model and data drifting. 
*   Experience in computer vision and Natural language processing.

## Benefits

*   Flexible work hours & Generous time off
*   Regular Team building activities & Weekly Brunches
*   Career development reviews & Succession planning
*   Personal education budget & Discounts on products
*   Cutting-edge Technology & Virtual Collaboration tools

**You’re interested?** We’d love to get to know you! Please submit your application including a cover letter sharing with us how you can support our Data Team.

_Dear recruitment agencies and headhunters: We do not accept any solicitations. Please do not contact us. Thank you for your understanding._

_We hire based on merit and business needs, and regardless of race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status (including pregnancy), or any other status protected by the laws or regulations in Switzerland, the EU or any future operation locations._

Employee

Hi, we are NOMOKO, a start-up on a mission to create a unique Digital Twin platform combining the power of innovative tech solutions and 3D that will transform real estate. And this is just the beginning.
Are you thinking of the Al, data visualization, visual detection? This is as high-tech as it can get! We use tech stack: Python, Numpy, Scipy, Scikit-learn, Pandas, Airflow, AWS, PostGIS, Gitlab CI. Would you also like to be part of it with a flexible schedule?
We strive to be both efficient and transparent - our recruitment processes typically take place within 3.5 weeks, from the first to the final interview, depending on the position you are applying for.
Would you like to support our Data Team with our Praedia? Praedia is a free-to-use web platform built by Nomoko. It brings digital transformation to businesses of every size operating at any scale.
<h2 id="tasks">Tasks</h2>
Interesting Challenges Ahead Of You:
<ul>
<li>Develop machine learning prototypes and deploy them as integrated solutions after rigorous testing</li>
<li>Maintain best practices for data cleaning and transformation, feature selection, model selection and model deployment, including documentation and versioning</li>
<li>Govern the versioning of the models, ensure the quality of deployed models, monitor model drifting for performance and reliability</li>
</ul>
<h2 id="requirements">Requirements</h2>
Experience in deploying machine learning and deep learning solutions in productions, in building machine learning pipelines and in monitoring model performance and model and data drift. l as deep learning models. You will also have worked with frameworks such as Pytorch, Tensorflow, or Keras. You know SQL, preferably PostgreSQL and PostGIS.
Nice to have:
<ul>
<li>Experience in deploying machine learning and deep learning solutions in productions, in building machine learning pipelines and in monitoring model performance and model and data drifting. </li>
<li>Experience in computer vision and Natural language processing.</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Flexible work hours &amp; Generous time off</li>
<li>Regular Team building activities &amp; Weekly Brunches</li>
<li>Career development reviews &amp; Succession planning</li>
<li>Personal education budget &amp; Discounts on products</li>
<li>Cutting-edge Technology &amp; Virtual Collaboration tools</li>
</ul>
You’re interested? We’d love to get to know you! Please submit your application including a cover letter sharing with us how you can support our Data Team.
Dear recruitment agencies and headhunters: We do not accept any solicitations. Please do not contact us. Thank you for your understanding.
We hire based on merit and business needs, and regardless of race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status (including pregnancy), or any other status protected by the laws or regulations in Switzerland, the EU or any future operation locations.

Machine Learning Engineer / Data Scientist (Spain)

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