Python Engineer

Computaris

16 Сентября 2024

We are hiring!

Python Engineer

You would work on the new ML and AI platform involving several Sprint teams around the new AI/ML product. We are looking for an excellent Software Engineer experienced in high quality production Python code.

Job Responsibilities:

  • Design, develop, and launch strategic data mining solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.
  • Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
  • Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
  • Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.

Basic Qualifications:

  • Degree in mathematics/computer science or related discipline.
  • 4+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
  • 3+ years of experience in Python.
  • Required one of these 3 skills setups:  
  1. Spark, + Py Spark + S3, + Parquet 
  2. Spark + Py Spark + Docker + Kubernetes   
  3. Microservices + Flask + Fast API 

Preferred Qualifications:

  • MS or PhD in Computer Science or equivalent experience.
  • Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience dealing with real-world large-scale datasets.
  • Strong understanding and passion for statistical/mathematical modeling and data analysis.

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