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Machine Learning Operations Engineer

vor 3 Monaten


Frankfurt am Main, Hessen, Deutschland vent Vollzeit

The objective of vent is to enhance the development of the German Mittelstand.

vent specializes in creating digital business strategies, innovative products, and services, while also collaborating with and investing in emerging start-ups. We are a subsidiary of Deutsche Leasing AG and part of the Sparkassen-Finanzgruppe.

We are seeking a talented individual for the position of Machine Learning Operations Engineer (f/m/d) within our Product Engineering division.

YOUR RESPONSIBILITIES

As a Machine Learning Operations Engineer (f/m/d), you will play a crucial role in advancing our Data Science initiatives and successfully implementing ML-Ops:

  • Transform Data Science Models and A.I. projects into production-ready solutions, overseeing the monitoring and troubleshooting of operational models.
  • Guarantee the quality, integrity, and security of data within the developed A.I. solutions.
  • Collaborate closely with Data Scientists to design data profiling mechanisms, implement data processing tasks, and provide reusable components for the Data Science team's daily operations.
  • Enhance and maintain the analytics platform by proposing and integrating new tools and services.
  • Assume responsibility for the operational models in the context of ML-Ops.
  • Develop CI/CD pipelines to ensure rapid and compliant deployment of data products.
  • Engage in internal and external meetups and conferences to share your accomplishments with fellow engineers.

YOUR QUALIFICATIONS

  • Degree in Computer Science, Statistics, Informatics, or a related quantitative discipline.
  • Strong expertise in Python and its libraries (e.g., Pandas, NumPy).
  • Demonstrated experience in developing data processing tasks using modern frameworks such as Spark or Azure Fabric.
  • Familiarity with various data storage formats (e.g., Parquet, Avro, ORC, JSON, CSV) and an understanding of their respective advantages and disadvantages.
  • Initial professional or academic experience with data processing frameworks like Spark or Flink.
  • Basic experience in operationalizing data science models.
  • Ideally, experience in designing and implementing APIs.
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is a plus.

YOUR ATTRIBUTES

  • Strong analytical skills with the ability to decompose complex problems into manageable components.
  • A collaborative mindset, enjoying teamwork with highly skilled engineers and scientists.
  • Persistence and constructive assertiveness.
  • Fluency in English, with basic conversational skills in German being advantageous.

WHAT WE PROVIDE

  • Flexible working arrangements, including options for remote work.
  • Complimentary beverages and snacks in the office.
  • Modern hardware that can also be used for personal purposes.
  • Fitness budget managed through the emplu app.
  • Company pension scheme to secure your future.
  • Opportunities to participate in internal events (offsite, kick-off, etc.).
  • A culture that encourages responsibility, quality, co-design, and teamwork.
  • A start-up atmosphere supported by the stability of the Sparkassen Finanzgruppe.