Machine Learning Engineer at OUTFITTERY GmbH

Vor 3 Tagen


Berlin, Berlin, Deutschland OUTFITTERY GmbH Vollzeit
Job Description:

We are seeking a highly skilled Machine Learning Engineer to join our team at OUTFITTERY GmbH. As a key member of our data science team, you will be responsible for implementing and deploying machine learning models to improve our fashion AI solutions.

Key Responsibilities:
  • Design and develop high-quality machine learning models to power our fashion recommendation system.
  • Collaborate with data scientists to shape our data-driven applications and ensure seamless integration into our production environment.
  • Work closely with cross-functional teams to deploy and monitor machine learning models in a cloud-based infrastructure.
  • Develop and maintain scalable and efficient software components using Python and related technologies.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Physics, or a related field.
  • Strong experience with large-scale AI systems, Python, and related technologies.
  • Hands-on experience with relational (Postgres) and non-relational (Elastic/OpenSearch) database engines.
  • Familiarity with MLOps practices and tools, including orchestration (Airflow), CI/CD (GitHub Actions), application/model deployment (Flask/FastAPI), and monitoring (Kibana/Instana).
  • Experience with cloud platforms (AWS), Infrastructure as Code (Terraform/Cloudformation), and containerization (Docker, Kubernetes).
  • Fluency in English is required; German is a plus.
What We Offer:
  • A competitive salary of €100,000 per year, reflecting your exceptional skills and qualifications.
  • The opportunity to work on challenging projects and contribute to the growth of our company.
  • A dynamic and international work environment with colleagues from diverse backgrounds.
  • The flexibility to work from home or in our office, with regular team events and social activities.
  • Ongoing professional development opportunities and training to enhance your skills and career prospects.


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