Software Engineer II

3 days ago

Mumbai, Maharashtra, India JPMorgan Chase & Co. Full time

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting
  • Design, develop, and implement machine learning models and AI algorithms for various business applications.
  • 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
  • Monitor, maintain, and improve deployed models and AI systems.
  • Stay updated with the latest advancements in AI/ML technologies and frameworks.
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Experience in developing and deploying machine learning models.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.

Preferred qualifications, capabilities, and skills
  • Experience with deep learning, NLP, computer vision, or reinforcement learning.
  • Knowledge of big data technologies (Spark, Hadoop).
  • Experience with RESTful APIs and microservices architecture.
  • Prior experience in financial services or related industries.

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