Remote Staff Software Systems Engineer-Machine Learning Platform (Development)-Python, Spark, PySpark-9370

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Description:

  • The position is for a Staff Software Systems Engineer specializing in Machine Learning Platform Development, focusing on Python, Spark, and PySpark.
  • The role is remote or based in Bangalore, India, and requires 8 to 13 years of experience.
  • Responsibilities include driving an innovative vision for products and platforms, designing and launching strategic machine learning solutions, and leading the end-to-end software development lifecycle.
  • The engineer will craft high-performance, production-ready machine learning code and extend existing ML libraries and frameworks.
  • Collaboration with other engineers and scientists is essential to accelerate model development, validation, and integration of models in production systems at scale.
  • The role involves mentoring and developing other engineers, establishing technical direction, and fostering team culture.
  • The engineer will uphold high standards of technical rigor and operational excellence, building resilient and scalable systems while championing process improvements.

Requirements:

  • A degree in mathematics, computer science, or a related discipline is required.
  • Candidates must have 5+ years of experience in the complete software development lifecycle, including design, coding, code reviews, testing, build processes, deployments, and operations.
  • Proficiency in at least one programming language, preferably Python or Java, with 5+ years of programming experience is necessary.
  • Candidates should have 3+ years of experience in leading the design and architecture of large distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with distributed data and ML technologies, including MapReduce, Spark, Flink, Kafka, PySpark, and SageMaker, is required.
  • Experience as a mentor, tech lead, or leading an engineering team is essential.
  • Candidates must be adept at tackling highly complex, ambiguous, or undefined problems.

Benefits:

  • Employees will be part of a company recognized as one of the best places to work in IT, fostering a diverse and inclusive environment.
  • The opportunity to work with a team of highly talented engineers and advance in their careers.
  • The company promotes a culture of innovation and operational excellence, allowing employees to contribute to significant technological advancements.
  • Extreme Networks encourages applications from underrepresented groups, ensuring a workplace free from discrimination and harassment.
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