Pyxeda is looking for a stellar Software Engineer. This individual will contribute to core features in Pyxeda’s SaaS product and will develop code that integrates with the state of the art Artificial Intelligence products used in enterprises today (examples - AWS Sagemaker, TensorFlow, Google Cloud AutoML, Spark, Dask, etc.). Please refer to the job advert for further information.
Attractive Salary plus comprehensive benefits

About Pyxeda

 

Pyxeda is a US-based company in the field of Artificial Intelligence. Pyxeda is developing revolutionary SaaS solutions to enable enterprises to achieve greater return on investment from Artificial Intelligence. Pyxeda’s executive team combines decades of proven product execution and deep technical expertise in Machine Learning and Distributed Systems. Pyxeda is led by CEO Nisha Talagala, who previously co-founded ParallelM and pioneered MLOps - the practice of Machine Learning in Production, and is a recognized expert in the Operational Machine Learning field.


Software Engineer

 

Pyxeda is looking for a stellar Software Engineer. This individual will contribute to core features in Pyxeda’s SaaS product and will develop code that integrates with the state of the art Artificial Intelligence products used in enterprises today (examples - AWS Sagemaker, TensorFlow, Google Cloud AutoML, Spark, Dask, etc.). Feature development will include collaboration with both Sri Lanka and US engineering teams. The role will primarily include back end development but provides opportunities to expand into full-stack development as well as the opportunity to improve skills in Artificial Intelligence and Machine Learning. The individual will also assist and participate in our developer training programs.

 

Qualifications

  • BS degree in CS
  • 2-3 years of experience in production software development. 
  • Proficient in Python and SQL
  • Experience with using Cloud Services (such as AWS, GCP) and Cloud APIs is a plus 
  • Excellent written and verbal communication skills
  • Experience with software product development best practices, reading requirements, implementing to schedule, participating in code reviews, performing unit testing, etc.

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