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JPMorgan Software Engineer III - Python AWS 
India, Telangana, Hyderabad 
292101574

20.07.2024

Job responsibilities

  • Design Enterprise Machine Learning platforms that are capable of running predictive models
  • Provides Technical Leadership, guidance and direction to other team members
  • Writes secure and high-quality code using the syntax of at least one programming language with python, Java
  • Establish standards, guidance and best practices for the technical aspects in the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Leverages Cloud services to build ML pipeline to implement, deploy and produce Machine Learning Models
  • Work with Business stakeholders and Product Owners to understand requirements.
  • Work with Site Reliability Engineer for any infrastructure/production changes.
  • Ingests data from multiple sources

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Attitude to learn new technologies. Passionate about building an innovative culture
  • Experience in programming languages such as Python/Java.
  • Understands/learn the basic architecture of Cloud services and usage.
  • Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
  • Experience working with databases such as Oracle or Cassandra.
  • Exposure to Agile and scrum methodologies.
  • Familiarity with CI/CD, Application Resiliency, and Security.
  • Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.

Preferred qualifications, capabilities, and skills

  • Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS.
  • Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)