What you'll do: 

We are seeking an experienced ML data engineer to support our data-centric AI. As a ML data engineer, you will be responsible for building and managing data operations including but not limited to selection, augmentation, annotation. Candidates for this position should have a track record of managing ML/DL data operations. They should be comfortable working in a team environment and be receptive to both giving and receiving constructive feedback. 

What You'll Need to Succeed: 

• Bachelor’s or master's or PhD in Computer Engineering, Computer Science, or related technical field
• 3 or more years of relevant industry experience
• Python or C
• Agile methodologies (Scrum, Kanban)
• Experience in at least 2 of the preferred competencies listed: 
  • Cloud computing ( such as AWS)
  • Machine learning
  • Deep learning frameworks (such as Tensorflow or Torch)
  • Computer vision
  • Image processing

Bonus Points: 

• Familiarity with large scale columnar data storage formats such as Parquet or ORC, ETL services such as AWS Glue or Azure Data Factory, and object store query engines such as Amazon Athena or Azure Data Lake Analytics. 
• Exposure to platforms for training orchestration, versioning, and validation of ML models such as Amazon SageMaker or Azure Machine Learning Studio 
• Demonstrated ability to apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering 

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