Software Engineer Associate III - Databricks

Posted 28 Days Ago
2 Locations
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Develop and deploy AI/ML models, data pipelines, and secure production systems. Build scalable architecture for training and inference, transform large datasets, implement NLP and generative AI solutions, and productionize models with data scientists. The role requires Python, Java, ML frameworks, cloud platforms, CI/CD, MLOps, containerization, and responsible AI practices, while contributing to technical communities through demonstrations, presentations, and knowledge sharing.
Summary Generated by Built In

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.

Job 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

  

Required qualifications, capabilities, and skills

  • 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.

 

Preferred qualifications, capabilities, and skills

  • 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
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Skills Required

  • Formal training or certification in software engineering and 3+ years of applied experience
  • Hands-on experience with AI/ML model development, training, and deployment
  • Proficiency in Python and ML frameworks including TensorFlow, PyTorch, and scikit-learn
  • Proficiency in Java for client-side and server-side application development
  • Proficiency in HTML, CSS, and modern front-end web development practices
  • Experience with data pipelines and processing frameworks including Spark, Pandas, and NumPy
  • Understanding of CI/CD, MLOps practices, and model versioning
  • Knowledge of cloud platforms including AWS, Azure, or GCP and containerization
  • Hands-on experience using enterprise-authorized AI-assisted software development tools and critically evaluating generated outputs
  • Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
  • Experience with generative AI and large language models
  • Familiarity with vector databases and RAG architectures
  • Experience with Docker, Kubernetes, and cloud-native deployments
  • Knowledge of NLP techniques and transformer architectures

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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