Summary
We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.
Candidate must have strong NLP exp.
- Automate end-to-end ETL/ML pipelines with structural understanding of data products.
- Automate, deploy and maintain ML pipelines into existing cloud resources.
- Work with team members to assist with data-related technical issues and support their data product needs.
- Work with team members to evaluate and improve existing ML system and models.
Required Skills
- A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
- Strong Python/Java programming skills
- Experience in implementing data pipelines using python
- Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
- Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
- Experience with query APIs using JSON, ProtocolBuffers, or XML
- Experience with Unix-based command line interface and Bash scripts
Optional Skills
- Experience with computer vision or natural language processing a plus.
- Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
- Data visualization or web development skills a plus
