Software Engineer III-AI/ML – Private Cloud

6 days ago

Hyderabad, Telangana, India JPMorganChase Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 Infrastructure Platforms team, you will serve as a seasoned member of an agile team, focusing on designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.

Job Responsibilities

  • Develop and implement machine learning models and algorithms to address operational challenges.
  • Analyze large datasets to extract actionable insights and support data-driven decision-making.
  • Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, focusing on long-term sustainability.
  • Adopt existing AI/ML initiatives at the organizational level within the subgroup.
  • Mentor junior team members and foster a culture of innovation and continuous learning.
  • Create visualizations and dashboards to present insights from log analysis.
  • Perform automated root cause analysis to trace the origin of errors and suggest solutions.
  • Continuously improve models by incorporating new log data and feedback.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
  • Document processes, models, and workflows to ensure transparency and reproducibility.
  • Stay updated with the latest advancements in AI/ML and apply relevant techniques to ongoing projects.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • hands on experience in developing and deploying machine learning models.
  • Strong understanding of data preprocessing, feature engineering, and model evaluation.
  • Proficient in Python and key data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark).
  • Solid understanding of machine learning algorithms.
  • Strong foundation in software engineering principles, including code modularity, documentation, versioning, and adherence to best practices ensuring maintainable and scalable code development.
  • Experience building data pipelines for both structured and unstructured data processing.
  • Experience in developing APIs and integrating NLP or LLM models into software applications.
  • Familiarity with data visualization tools like Matplotlib, Seaborn.
  • Strong communication skills and ability to work collaboratively in a global team environment.
  • Ability to troubleshoot and optimize AI/ML solutions for performance and accuracy.

Preferred Qualifications, Capabilities, and Skills

  • Demonstrate experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
  • Apply knowledge of natural language processing and computer vision techniques.
  • Utilize understanding of big data technologies and distributed computing (e.g., Spark).
  • Contribute to the adoption of emerging AI/ML tools and frameworks.

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