Aktiviere Job-Benachrichtigungen per E-Mail!

Senior Machine Learning Engineer (m/f/d)

Neoshare

Berlin

Hybrid

EUR 60.000 - 90.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

Join a leading Fintech/Proptech firm as a Machine Learning Engineer where you'll lead research and model deployment. This role is perfect for someone with a knack for innovative solutions and a collaborative spirit. Enjoy flexible working arrangements, generous vacation days, and wellness benefits tailored to enhance your life.

Leistungen

Subsidized Urban Sports Club Membership
50% Subsidy for Deutschlandticket
30 days paid vacation
Flexible working hours

Qualifikationen

  • 3+ years of experience in machine learning model development.
  • Fluent in English and German.
  • Strong understanding of ML fundamentals.

Aufgaben

  • Research methodologies and approaches to solve problems.
  • Train and evaluate machine learning models.
  • Deploy models in production environments.

Kenntnisse

Machine Learning Fundamentals
Proficiency in Tensorflow
Proficiency in Pytorch
Python Programming
Natural Language Processing
Information Retrieval
Attention to Detail
Curiosity in State-of-the-Art Methods

Tools

Docker
Docker Compose
Kubernetes

Jobbeschreibung

Permanent employee,Full-time· Remote (Berlin)
  • You do research on different methodologies, models and approaches to solve challenging problems
  • You collaborate with engineers to preprocess, analyze, and prepare data for modeling
  • You train and evaluate machine learning models using various algorithms and techniques
  • You deploy machine learning models in production environments
  • You bring in 3+ years of experience in developing and deploying machine learning models in a production environment
  • You have a good understanding of ML fundamentals such as models and approaches
  • You are proficient in Tensorflow or Pytorch or similar
  • You have experience and curiosity in the state-of-the-art methods in Natural language processing and information retrieval
  • You are into the current advances in large language models
  • You know how to make Python code production ready
  • You know what Docker, Docker Compose or K8s is
  • Attention (might be all you need)
  • You are fluent in English and German

Shape the Future with Impactful Innovation

Join a fast-growing Fintech/Proptech where your ideas and expertise contribute to groundbreaking products and meaningful collaborations with industry leaders. Together, we’re shaping the future of real estate and finance, ensuring your work makes a lasting industry impact.

Collaborate in a Diverse & Inclusive Team
Our international team—spanning Sofia, Munich, Düsseldorf, and Frankfurt—is united by a shared passion for innovation and excellence.

Work in Inspiring, Modern Spaces
Our offices are thoughtfully designed to enhance productivity and collaboration. Enjoy ergonomic furniture, biophilic design for wellness, and even dog-friendly spaces.

Flexible Work, Balanced Life
We believe in flexibility and balance. Take advantage of 30 days of paid vacation, flexible hours, and a hybrid model that lets you work from home or the office.

Perks That Enhance Your Life

  • Wellbeing & Mobility benefits:At neoshare, we are committed to supporting your wellbeing and sustainable lifestyle with the following benefits:
    • Subsidy for Urban Sports Club or EGYM Wellpass: Stay fit and active with a membership at Urban Sports Club or EGYM Wellpass, financially supported by us on a monthly basis.
    • Jobticket: We support sustainable mobility by subsidizing 50% of your “Deutschlandticket” monthly, helping you travel stress-free and eco-friendly.

Regular team events, from barbecues to after-work gatherings, to keep our culture vibrant.

Candidates must have the right to work in the EU; visa sponsorship is not provided for this role.


Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.