Sr Software Engineer-Machine Learning Platform

2 weeks ago


Bengaluru, Karnataka, India Extreme Networks Full time

Position:
Sr Software Systems Engineer-Machine Learning Platform (Development) -Python, Spark, PySpark

Experience : 5 to 12 Years

Location :
Remote/Bangalore

Job Responsibilities:

  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • 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, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

Basic Qualifications:

  • Degree in mathematics/computer science or related discipline.
  • 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (, AWS, Azure, Google Cloud).
  • Experience working with distributed data and ML technologies ( MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).
  • Experience as a mentor, tech lead or leading an engineering team.
  • Adept at tackling highly complex, ambiguous or undefined problems.

Preferred Qualifications:

  • S or PhD in Computer Science or equivalent experience in ML.
  • Experience dealing with real-world large-scale datasets.
  • Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models.
  • Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA.Come work with a team of highly talented engineers, and advance with us to achieve new heights every day

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