Software Engineer III Machine Learning Big Data Developer

3 years

1 - 9 Lacs

Posted:23 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the corporate technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

  • Build pipelines in Spark and tune Spark queries.
  • Possess advanced knowledge of application, data, and infrastructure disciplines.
  • Design, build, and maintain ML models in production, working closely with modelers and business stakeholders.
  • Apply knowledge of machine learning model frameworks, algorithms, and tools for building ML solutions.
  • Create and maintain technical documentation.
  • Contribute to the group’s knowledge base by finding new and valuable ways to approach problems and projects.
  • Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
  • Strong experience in programming languages such as Java or Python.
  • Experience with Python Machine Learning libraries and ecosystems (e.g., Pandas and Numpy).
  • Experience with Cloud technologies such as AWS or Azure.
  • Experience working with databases such as Cassandra, MongoDB, or Teradata.
  • Knowledge of build tools like Maven and source control like Git/SVN.

Preferred Qualifications, Capabilities, and Skills

  • Familiarity with modern front-end technologies.
  • Exposure to cloud technologies.

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