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Software Engineer III

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Software Engineer III in USA new

  • JPMorgan Chase
  • Full time
  • Email
  • Plano, TX

Responsibilities

  • Design, build, and maintain platform components for ML model development, training, deployment, and monitoring.
  • Develop and maintain production data and feature pipelines that feed machine learning models.
  • Build and manage AWS cloud infrastructure, including Databricks, EMR, ECS, and S3, for model training and serving.
  • Automate model deployment, testing, and release processes within the SDLC and MLOps toolchain.
  • Migrate legacy ML workloads to scalable cloud-native platforms with zero downtime.
  • Monitor platform health and model-serving infrastructure and resolve performance and stability issues.
  • Use enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, refactoring, and documentation while validating outputs.
  • Collaborate with data scientists and model developers to translate requirements into reliable platform capabilities.
  • Contribute to design decisions, technical deliverables, secure coding practices, and continuous improvement.

Requirements

  • Formal training or certification in software engineering and at least 3 years of applied experience.
  • Hands-on experience building and maintaining production data or machine learning pipelines.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools and critically evaluating their outputs.
  • Understanding of responsible AI use, data sensitivity, secure handling of inputs and outputs, resiliency, and security expectations.
  • Proficiency in Python and experience with ML libraries and frameworks such as Pandas, NumPy, and Scikit-learn.
  • Working knowledge of AWS and cloud-native development patterns.
  • Practical experience with infrastructure-as-code and deployment automation; Terraform is preferred.
  • Ability to work independently on platform problems with moderate oversight.
  • Preferred qualifications include Databricks, MLOps practices, AWS certifications, RAG or GenAI/LLM integration patterns, Docker, ECS, Kubernetes, and big data processing frameworks such as Spark.

Benefits

  • Competitive total rewards and eligibility-based benefits, including health care coverage, on-site wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
  • Eligible roles may include commission-based pay or discretionary incentive compensation; compensation details are provided during hiring.
  • Equal opportunity employment, reasonable accommodations, and an emphasis on diversity and inclusion.

Salary: Competitive

JPMorgan Chase

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the ...

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