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Senior Machine Learning Engineer

vor 2 Monaten


Berlin, Berlin, Deutschland Babbel Vollzeit
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer - MLOps to join our Personalisation team at Babbel.

As a key member of our team, you will be responsible for designing, building, and deploying machine learning models and pipelines that power our personalisation solutions.

Key Responsibilities
  • Partner with data scientists and engineers to design, build, and maintain models and pipelines that drive our personalisation solutions
  • Ensure the reliability and scalability of our AI/ML solutions by creating monitoring and observability tools
  • Reduce the time-to-market for experimenting with AI/ML powered features by establishing end-to-end MLOps technologies and standards in a cloud-based environment
  • Innovate and bring your ideas to life to help millions of language learners achieve their goals
Requirements
  • Computer science or related engineering degree and 4 years of professional experience designing, building, and operating data-intensive ML systems
  • Proficiency in modern Python, Python data stack, and ML frameworks such as SciKit Learn and PyTorch
  • Substantial experience designing and building end-to-end MLOps solutions on the cloud from data gathering and feature management to model training, validation, deployment, and monitoring
  • Industry experience in architecting and building data applications in AWS Cloud, especially using serverless, data and ML capabilities such as Lambda, RDS, DynamoDB, Kinesis, and SageMaker
  • Infrastructure management experience using Terraform
  • Expertise in querying, modeling, and optimising data in large-scale SQL and NoSQL databases and Big Data technologies such as Databricks
  • Experience transforming data science prototypes into production-ready solutions with a commitment to Software Engineering best practices
  • Proven performance in cross-functional software development teams
  • A can-do attitude that marries technical excellence with a sense for user impact
Nice to Have
  • Experience building near-real time and real time data pipelines
  • Data engineering experience with Apache Spark and Databricks
  • Experience with orchestration tools such as Apache Airflow
  • Experience in Natural Language Processing
  • Experience building and fine-tuning Deep Learning models
  • Experience optimising Deep Learning models for deployment and inference
About Babbel

Babbel is the top-selling language learning platform in the world, driven by our purpose of creating mutual understanding through language.

We provide learners with the most effective solutions to enable them to communicate in real-life scenarios, with real people.

Our platform offers more than 60,000 lessons in 14 languages, created by a team of nearly 200 language experts.

The Babbel team is as diverse as our content, with headquarters in Berlin, Germany, and New York, USA, and a team of 1,000+ people from over 80 different nationalities.

We were honoured with a place on Fast Company's list of the World's Most Innovative Companies in 2023, ranking 4th in the Education category.