Senior Data Scientist
vor 1 Tag
We're seeking a highly skilled Senior Machine Learning Engineer to join our team and help us revolutionize language learning.
Key Responsibilities:- Collaborate with data scientists and engineers to design, build, and deploy AI/ML models and pipelines that drive our personalization solutions.
- Ensure the reliability and scalability of our AI/ML solutions by creating monitoring and observability tools.
- Develop and establish end-to-end MLOps technologies and standards in a cloud-based environment to reduce time-to-market for experimenting with AI/ML-powered features.
- 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 optimizing 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 optimizing Deep Learning models for deployment and inference.
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