Senior Machine Learning Engineer
vor 2 Monaten
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 play a crucial role in designing, building, and deploying AI/ML solutions that power our personalisation features.
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
- 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
- Infrastructure management experience using Terraform
- Expertise in querying, modeling, and optimising data in large-scale SQL and NoSQL databases and Big Data technologies
- 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
- 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
Diversity at Babbel
We welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements. Please state your pronouns in your application, and let us know if you'd like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.
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