Aktuelle Jobs im Zusammenhang mit Data Engineer - Berlin, Berlin - Cherry Ventures


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Data Engineer

vor 2 Monaten


Berlin, Berlin, Deutschland Cherry Ventures Vollzeit
About Cherry Ventures

Cherry Ventures is a venture capital firm that supports its portfolio companies with strategic hires.

Job Description

We are seeking a highly skilled Data Engineer - MLOps Specialist to join our team at Plato, a company building the digital backbone of the global trade economy.

Key Responsibilities
  • Design and Develop Scalable Data Pipelines: Create and manage robust data pipelines that support machine learning models in production.
  • Implement CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment pipelines for data and ML workflows.
  • Automate Customer Onboarding: Design and implement automated processes for onboarding new customers, ensuring scalability and repeatability.
  • Collaborate with Data Scientists: Work closely with data scientists and AI engineers to optimize and automate data processing and model deployment.
  • Ensure Seamless Integration: Ensure the smooth integration of ML models with production environments, enabling real-time and batch inference capabilities.
  • Develop Tools and Frameworks: Create and maintain tools and frameworks for automated data management, model retraining, and monitoring.
  • Model Serving and Deployment: Implement model serving solutions to deploy and manage real-time inference pipelines.
  • Best Practices and Standards: Establish and enforce best practices for data and ML pipeline versioning, experimentation, and reproducibility.
Requirements
  • 3+ Years of Experience: In data engineering, ML engineering, or a related field, with a strong focus on MLOps.
  • Experience with Data Pipelines: Building and managing data pipelines that feed into machine learning models.
  • Python and PySpark: Very good knowledge of Python and experience with PySpark.
  • Data Engineering Tools: Hands-on experience with data engineering tools and platforms, such as Databricks.
  • MLFlow and Model Serving: Experience with MLFlow for model tracking and lifecycle management, and familiarity with model serving technologies.
  • CI/CD Tools: Familiarity with CI/CD tools and processes, including Jenkins, Git, or similar.
  • Cloud Platforms: Experience with cloud platforms, such as AWS.
What We Offer

At Cherry Ventures, we offer a dynamic startup environment where you will have the opportunity to wear multiple hats and thrive in a fast-paced setting.

We are committed to helping our portfolio companies succeed, and we believe that this role will play a crucial part in driving our data and ML infrastructure forward.