Chief Software Architect

7 days ago

Hyderabad Secunderabad Telangana, India beBeeSoftware Full time
Job Overview

The Execution Machine Learning team works closely with sales, product, and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse, and massive data into actionable insights with measurable improvements to the customer bottom line.

Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models, and produces billions of predictions on a daily basis

As a senior software engineer, you will play a key role in designing, architecting, implementing, and operating the Execution Machine Learning platform by observing inefficiencies, researching alternative solutions, and ensuring smooth operation via monitoring and alerting facilities.

What You Will Do

  1. Design scalable solutions for both model building and serving using rigorous analysis and repeatable processes.
  2. Research alternative solutions using custom or existing open-source technologies and extend or configure them as needed.
  3. Work with the DevOps and Support teams to operate the platform by implementing DevOps best practices and helping to resolve operational issues.

What We Are Looking For

  • Bachelor's degree in computer science is required; masters is preferred.
  • 7+ years of experience in software engineering with a strong focus on production software development.
  • Experience in Frontend technologies, including JavaScript, TypeScript, and React.
  • Good working knowledge of Kubernetes and other virtualized execution technologies.
  • 4+ years of experience working on at least one cloud environment, preferably GCP.
  • Strong programming skills in Python with an excellent understanding of object-oriented design and patterns.
  • 5+ years of experience in building REST APIs.
  • 1+ years of experience with Kafka and its integration with cloud services.
  • 2+ years of experience in Linux scripting.
  • 1+ years of experience working with traditional and new relational SQL DBMS, preferably Hive and Big Query.
  • 1+ years of experience with NOSQL databases, preferably Cassandra, Hbase, and Redis.
  • Strong CS fundamentals in algorithms and data structures.
  • Should have experience working with CI/CD, automated unit testing, and integration testing.
  • Some experience with streaming frameworks, preferably Beam on Samza/Flink/DataFlow.
  • Familiarity with modern Big Data computing platforms such as Hadoop and Spark.
  • Exposure to one or more of Pandas, NumPy, sklearn, Keras, TensorFlow, Jupyter, Matplotlib, etc.
  • Good to have supply chain domain knowledge.

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