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.

Responsibilities

• Automate end-to-end ETL/ML pipelines with a 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 systems 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
• Candidate must have strong NLP experience.

Optional Skills

• Experience with computer vision or natural language processing is 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 are a plus.

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