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Startseite Jobs, Karriere IT, TK, Software Machine Learning Engineer (f/m/d)... (Berlin, Friedrichshain-Kreuzberg)

Machine Learning Engineer (f/m/d) full-time

Machine Learning Engineer (f/m/d) full-time - Berlin Friedrichshain-Kreuzberg 
Reisetätigkeit
Nein
Arbeitgeber
Personalvermittler
Öffentlicher Dienst
Nein
Jobtyp
Vollzeit
Firma
HeyJobs GmbH
Straße, Hausnr.
Paul-Lincke-Ufer
PLZ der Firma
10999
Ort der Firma
Berlin
Telefonnr.
030 516 958 550
 

As a part of our fast growing team, we are looking for a driven Machine Learning Engineer (f/m/d) who can contribute, take ownership, and help us scale our product and business.


WHAT WE OFFER YOU
✓ A decisive role: You are part of our R&D team and get to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
✓ An international team: Every individual matters - as a team of 14 different nationalities we value the synergy of different cultures, personalities and backgrounds.
✓ Room for growth: We take a personal interest in your perspectives and development, so every employee has a budget for educational purposes (e.g. language or IT certificates) and realistic options for career development within the company.
✓ A quality oriented development culture: We're proud of our code, practice TDD, like to pair when needed and use continuous integration
✓ The perks of a start-up: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.


YOUR ROLE & RESPONSIBILITIES
✓ Help create and own the systems that reliably and performantly serve machine learning predictions in a variety of environments, both offline and online
✓ Work closely with our development and data science team to design and turn prototypes into production systems
✓ Using Python, Apache Airflow, AWS systems (like EMR, ECS, Redshift, RDS), Spark, and data from Snowplow, Adwords, Facebook and others to implement real-time, distributed systems so that our machine learning and other data services can easily adapt to our rapid growth
✓ Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact
✓ Be encouraged to work independently, using your conceptual and creative skills


YOUR PROFILE
✓ 3+ years of experience programming in Python (OOP, multiprocessing, PEP8)
✓ 2+ years of experience creating machine learning serving systems (sklearn, pandas, numpy, scipy, NLTK, gensim)
✓ 2+ years of experience creating of Machine Learning Pipelines (Apache Airflow, Luigi)
✓ 2+ years of experience with AWS (EMR, ECS, Redshift, RDS)
✓ Experience with distributed systems like Spark
✓ Experience with deep learning libraries (Keras, PyTorch, Tensorflow)
✓ Good knowledge of SQL


Our environment is built on AWS and we use various AWS services (ECS, S3, Redshift, Lambda, etc). We deploy applications using Docker images with CircleCi, and Jenkins pipelines run our machine learning algorithms. Our infrastructure is built for Agile development, and our developers deploy features to production multiple times per day with CI/CD.


Our product development teams have struck a fine balance between iterating quickly while still producing high quality code. Every member of the team has a prominent voice and is encouraged to experiment, take risks and make suggestions that will have an impact on the business.


Interested? We are on a strong growth path, so don’t miss the chance!

If you'd like to be part of a highly collaborative and cross-functional team, with limitless opportunities to learn and grow, get in touch. Send us your application and we’ll get back to you as soon as possible. We’re excited to hear from you!


Are you curious about the Start-up culture at HeyJobs?

Take a look at our Kununu (4,52/5) or Glassdoor (5/5) ratings!
-----------------------------------------------------------------------------------------------------------

++++ Zur Bewerbung und weiteren Infos geht es unter folgendem Link
+++++
https://hey.jobs/i956gbMNn (kopieren Sie den Link einfach in die URL Zeile Ihres Browsers)
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10999 Berlin
10999 Berlin
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Anzeigendatum
21.12.2018
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