Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.

Core Responsibilities & Skills

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  Architecting, building and maintaining modern, scalable data architectures on AWS
  


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  Solving problems using Machine Learning and delivering ML solutions all the way to production
  


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  Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi
  


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  Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.
  


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  Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization
  

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  BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
  


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  Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms
  


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  Experience in Amazon AWS, DevOps and Automation
  


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  Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow
  


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  Enjoys collaborating with other engineers on architecture and sharing designs with the team
  


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  Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment