Software Engineer III - Databricks
About The Position
Join JPMorgan Chase as a Software Engineer III where we have an exciting and rewarding opportunity for you to take your software engineering career to the next level. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Software Engineer III at JPMorgan Chase within Corporate AIML Data Platforms and Chief Data & Analytics (CDAO) team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
- Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
- We also offer a range of benefits and programs to meet employee needs, based on eligibility.
- These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
- Additional details about total compensation and benefits will be provided during the hiring process.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
