Senior Machine Learning Engineer (all genders)
You will :
- Partner with data scientists and engineers to design, build, deploy, and maintain models and pipelines that power our personalisation solutions
- Ensure reliability and scalability of our AI / ML solutions by creating monitoring and observability solutions
- Reduce the time-to-market for experimenting with Al / ML powered features by creating and 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 across the globe to achieve their language learning goals
You have :
- Computer science or related engineering degree and 4 years of professional experience designing, building, and operating data-intensive ML systems
- You are proficient and have industry experience 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
- You are an expert in querying, modeling, and optimizing data in large-scale SQL and NoSQL databases and Big Data technologies such as Databricks
- You are experienced in transforming data science prototypes into production-ready solutions with a commitment to Software Engineering best practices
- You are a team player with proven performance in cross-functional software development teams
- You have 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 optimizing Deep Learning models for deployment and inference
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