Software Engineer Associate III - Databricks

JPMorganChase is a financial institution providing banking, investment, and financial services. The Software Engineer III will design and deliver secure, scalable AI/ML technology products, developing models, data pipelines, and production systems while collaborating with data scientists and contributing to engineering knowledge-sharing initiatives.

Responsibilities

• Develops and deploys AI/ML models and data pipelines for enterprise applications
• Creates secure and high-quality production code for machine learning inference and training systems
• Produces architecture and design artifacts for AI-powered applications while ensuring scalability and performance
• Gathers, analyzes, and transforms large datasets to support AI/ML model development and evaluation
• Implements natural language processing, generative AI, and other ML technologies in production systems
• Collaborates with data scientists to productionize machine learning models and integrate with backend services
• Contributes to AI/ML communities of practice through demos, tech talks, and knowledge sharing

Preferred

• Experience with generative AI and large language models (LLMs)
• Familiarity with vector databases and RAG architectures
• Experience with containerization (Docker, Kubernetes) and cloud-native deployments
• Knowledge of NLP techniques and transformer architectures
• Generative AI
• Large Language Models (LLMs)
• Vector Databases
• RAG Architectures
• Docker
• Kubernetes
• Cloud-Native Deployments
• NLP Techniques
• Transformer Architectures

Benefits

• Commission-based pay and/or discretionary incentive compensation, for those in eligible roles, paid in the form of cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Company

• Global financial institution offering banking, asset management, and advisory services
• New York, New York, USA
• https://www.jpmorganchase.com/
• Founded in 2000
• 10001+ employees

Qualifications

• Formal training or certification in software engineering and 3+ years applied experience
• Hands-on experience with AI/ML model development, training, and deployment
• Proficient in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Proficient in Java for both client-side and server-side application development
• Proficient in HTML, CSS, and modern front-end web development practices
• Experience with data pipelines and processing frameworks (Spark, Pandas, NumPy)
• Solid understanding of CI/CD, MLOps practices, and model versioning
• Demonstrated knowledge of cloud platforms (AWS, Azure, GCP) and containerization
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Experience with generative AI and large language models (LLMs)
• Familiarity with vector databases and RAG architectures
• Experience with containerization (Docker, Kubernetes) and cloud-native deployments
• Knowledge of NLP techniques and transformer architectures

Required skills

• AI/ML Model Development, Training, and Deployment, Python, TensorFlow, PyTorch, scikit-learn, Java, HTML/CSS, Spark, Pandas, NumPy, CI/CD and MLOps, Cloud Platforms AWS, Cloud Platforms Azure, Cloud Platforms GCP

Preferred skills

• Familiarity with vector databases and RAG architectures, Knowledge of NLP techniques and transformer architectures

Experience

• 3+ years