Software Engineer III-AI/ML - Private Cloud

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.