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ML Ops Engineer - Berlin

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Cherry Ventures

2mo ago

  • Job
    Full-time
    Mid Level
  • Software Engineering
  • Berlin

AI generated summary

  • You need 3+ years in data/ML engineering with MLOps focus, strong Python skills, experience with data pipelines, MLFlow, CI/CD tools, and a startup mindset for flexibility and automation.
  • You will design and manage data pipelines, implement CI/CD for ML workflows, automate customer onboarding, collaborate on model deployment, and ensure data integration and monitoring.

Requirements

  • 3+ years of experience in data engineering, ML Engineering or a related field, with a strong focus on MLOps.
  • Experience in building and managing data pipelines that feed into machine learning models.
  • Very good knowledge of Python; experience with PySpark is appreciated.
  • Hands-on experience with data engineering tools and platforms; a background in Databricks is highly valued.
  • Experience with MLFlow for model tracking and lifecycle management.
  • Familiarity with model serving technologies and deploying models for real-time inference.
  • Familiarity with CI/CD tools and processes, including Jenkins, Git, or similar.
  • Ability to wear multiple hats and thrive in a startup environment where flexibility and initiative are key.
  • A mindset that embraces continuous improvement, automation, and scalability, particularly in customer onboarding and deployment processes.

Responsibilities

  • Design, develop, and manage scalable and robust data pipelines that support machine learning models in production.
  • Implement and maintain CI/CD pipelines for data and ML workflows, ensuring smooth transitions from development to production.
  • Automate the onboarding process for new customers, ensuring scalability and repeatability across deployments.
  • Collaborate with data scientists and AI Engineers to optimize and automate data processing and model deployment.
  • Ensure the seamless integration of ML models with production environments, enabling real-time and batch inference capabilities.
  • Develop and maintain tools and frameworks for automated data management, model retraining, and monitoring.
  • Utilize MLFlow for model tracking, versioning, and lifecycle management.
  • Implement model serving solutions to deploy and manage real-time inference pipelines.
  • Work closely with our product, engineering, and data science teams to build and maintain a data platform that scales with our growing customer base.
  • Establish and enforce best practices for data and ML pipeline versioning, experimentation, and reproducibility.

FAQs

What is the job title for this position?

The job title is ML Ops Engineer.

Where is this position located?

This position is based in Berlin.

What type of employment is being offered?

The position is full-time.

What is the primary focus of the role?

The primary focus is on MLOps, combining elements of DataOps, DevOps, and ModelOps.

What key responsibilities will I have in this role?

Key responsibilities include designing and managing data pipelines, implementing CI/CD processes, automating customer onboarding, collaborating with data scientists, and ensuring the integration of ML models in production environments.

How many years of experience are required for this role?

A minimum of 3 years of experience in data engineering, ML engineering, or a related field with a strong focus on MLOps is required.

What programming languages and tools should I be proficient in for this position?

Proficiency in Python is required, and experience with PySpark, Databricks, MLFlow, and CI/CD tools is appreciated.

What type of company is supporting this job position?

Cherry Ventures is supporting this hire for its portfolio company, Plato.

What kind of team will I be working with?

You will be working with a dynamic team that includes data scientists, AI Engineers, and experts from various backgrounds, including Big Tech and consulting firms.

Does the company prioritize diversity in hiring?

Yes, Cherry Ventures is an equal opportunity employer and values diversity.

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Cherry Ventures

Founders first and investors second.

Venture Capital & Private Equity
Industry
11-50
Employees
2012
Founded Year

Mission & Purpose

Cherry Ventures is an early-stage venture capital firm led by a team of entrepreneurs with experience building fast-scaling companies such as Zalando and Spotify. The firm backs Europe's boldest founders, usually as their first institutional investor, and supports them in everything from their go-to-market strategy and the scaling of their businesses. Cherry Ventures has previously invested in the seed stage of over 90 companies across Europe, including FlixBus, Auto1 Group, Flaschenpost, Infarm, Forto, SellerX, Juni, and Flink. Cherry Ventures is based in Berlin and invests across Europe with operations in London and Stockholm.