דרושים Sr Applied Ai Ml Engineer ב-גיי פי מורגן ב-United States, Columbus

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
• Promote software and model quality, integrity, and security across the organization

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied AI experience
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
• 10 plus years of hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript
• Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies
• Experience in cloud platforms such as AWS, GCP, or Azure
• Knowledgeable in machine learning frameworks, ML Ops tools and practices
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
• Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
• Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks

Preferred qualifications, capabilities, and skills

• Certified as AWS Solutions Architect, Certified Developer, or similar certification

Job responsibilities

• Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.
• Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.
• Design, develop, code, test, debug and deploy applications for scalable and extensible applications.
• Produce high quality code utilizing Test Driven Development techniques.
• Participate in retrospectives to drive continuous improvement within the feature team.
• Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.
• Implement Automation: Continuous Integration and Continuous Delivery.
• Manage Cloud Development and Deployment: Support development and deployment of applications into AWS Public clouds.

Required qualifications, capabilities, and skills.

• Formal training or certification on software engineering* concepts and 3+ years applied experience.
• Advanced knowledge of architecture, design and business processes
• Full Software Development Life Cycle experience within an Agile framework
• Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.
• Experience with the development and decomposition of complex SQL (RDMS Platforms)
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption).
• Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)
• Experience with one or more leading cloud providers (AWS/Azure/GCP)

Preferred qualifications, capabilities, and skills

• Ability to work fast and quickly ramp up on new technologies and strategies.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
• Appreciation of Controls and Compliance processes for applications and data.
• In depth understanding of data technologies and solutions is preferable.
• Drive Process improvements and implement process changes as necessary.
• Knowledge of industry-wide Big Data technology trends and best practices

Job responsibilities

• Develop Mobile applications for chase apps using Swift, Swift UI and Objective C
• Optimize applications for various mobile screen sizes, iPad, iWatch and other iOS devices
• Work on large and complex mobile apps and in implementing complex mobile front-end solutions and experience with automated testing and test driven development
• Collaborate with UX designers on rapid prototypes of new concepts and features to implement superior user experiences
• Optimize mobile applications for maximum speed, reliability and scalability, follow and promote Agile practices including Scrum, Lean, BDD and Continuously Delivery
• Research new technologies, identify and learn best practice, adapt quickly and provide technical guidance across the organization and work with multiple globally distributed teams to deliver end-to-end solution across regions
• Promote excellent user experience and system performance by supporting SRE practices

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficient in mobile development frameworks including iOS Swift, Objective C, UIKit and Cocoa
• Strong understanding of iOS design patterns MVVMC,MVP, MVC, MVVM, VIPER and others
• Integrate various native features like Camera, Push Notifications, GPS, CoreML, VisionKIt
• Experience securing application via device registration, biometrics, platform integrity and keychain
• Experience in mobile app encryption, data protection, and addressing security vulnerabilities
• Experience in integration of APIs with Mobile app and proficient in using iOS development tool XCode
• Build responsive apps for various iOS device sizes and experience in releasing apps to App Store or Enterprise App Stores using CI/CD pipeline
• In depth knowledge of GIT and source code management and understanding of CI/CD best practices, experience in developing unit, component, and end to end testing for mobile apps and knowledge of agile software development methodologies
• Must possess excellent interpersonal skills including strong written and verbal communication and excellent analytical, problem solving, and decision making skills

Preferred qualifications, capabilities, and skills

• Agile/Scrum as well as Waterfall development methodologies
• Mobile Native Application and Mobile Browser Testing via devices and simulators in both iOS and Android platform
• Build automation (static and dynamic analysis) and frameworks with software engineers that are able to improve security, whilst also improving developer and customer experience.
• Understanding of mobile app vulnerabilities, experience in Apple platforms, FIDO Technologies.
• Provide challenge and assessment of potential technology risks including information and cyber security control weaknesses by performing threat modelling exercises.

Job Summary

As a Fraud Risk Product Manager - Vice President, you will shape the technology solutions that drive our strategic fraud risk initiatives.  Working at the intersection of business and technology you'll interact with colleagues in various lines of businesses to learn about challenges and opportunities, transform that knowledge into high quality technical requirements, and coordinate with technical delivery teams to ensure solutions meet all requirements while providing exceptional business and customer experience.

In addition to working with the development teams to create new solutions, you'll help optimize existing technology and identify new capabilities. While your role requires both business and technical skills including expertise in everything from data management to functional design, it also hinges on teamwork and leadership.  You will offer clear guidance and feedback to your colleagues, product teams, and technology resources to ensure the highest quality deliverables, processes, and experiences while promoting the values, culture, and brand of JPMorgan Chase.

Job Responsibilities:

• Partner with product owners, data scientists, and fraud strategists to build business requirements, procedures, and processes. This will include project plan development, resource management, requirements management (elicitation, documentation, prioritization, etc.), process mapping, process design, procedure authoring, org design, capacity sizing, etc.
• Work with other product teams, legal, risk, operations, design and technology teams to define, prioritize, deliver and align solutions to product vision and roadmap
• Manage the interdependencies between product releases and other product delivery teams and activities required for end-to-end delivery
• Lead the product development life cycle, design, and data analytics and able to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Align product strategies with overall business goals while identifying opportunities for growth
• Conduct and lead technical and functional JAD sessions, driving the team during solution design and defining web services API contracts. build requirement artifacts, data flow diagrams, user stories, use cases, mapping documents, and defining test scenarios.

• Maintain our control environment by ensuring programs and projects are completed in accordance with all Risk, Control, and other relevant firm-wide guidelines

Required qualifications, capabilities and skills:

• Bachelor’s degree, in engineering, computer science, technology, or related field
• 5+years of experience leading and managing progressively complex projects and initiatives in financial services, digital platforms and/or software development.
• Excellent interpersonal and communication skills, including ability to negotiate, compromise, display transparency and demonstrate diplomacy in sensitive situations and to interact effectively with peers, stakeholders, technical or business.  Demonstrates strong influencer skills.
• Excellent analytical, strategic, logical thinking skills to understand and articulate complex business processes and workflows.
• Strong ability to work independently and collaboratively in a team setting in organizing, executing and completing initiatives.
• Strong understanding of and ability to work within Agile based development.  Proven ability to lead multiple projects.
• Expert in JIRA reporting and Confluence
• Ability to synthesize complex information in a concise manner for presentation to stakeholders and interested parties.
• Exhibit confidence in communicating and interacting with senior and global business leaders through strong written, verbal, and interpersonal communications and presentations.
• Ability to understand stakeholders and business partners to provide flexibility and adaptability as necessary to execute and complete the initiative.

• Excellent communication and partnership skills

Preferred qualifications, capabilities and skills:

• Strong inter-personal skills to inspire/motivate the team and to instill confidence and trust within the business, operations, and technology teams as applicable
• Proven leader such that all participating and impacted groups have confidence and trust that the program/project is being well-managed and will meet its deliverables in a timely manner
• Project Manager certification

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Collaborate with product managers to integrate machine learning capabilities into product requirements.
• Translate requirements into technical specifications and designs, incorporating machine learning models.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering / Machine Learning concepts and 5+ years applied experience
• 5+ years of Hands-on practical enterprise experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Python and AWS deployment
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of CI/CD, Application Resiliency, Automation and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
• Practical cloud native experience in AWS
• Extensive experience in utilizing Terraform for infrastructure as code, enabling efficient provisioning and management of cloud resources
• Leverage Spark for big data processing and analytics, optimizing data workflows and enhancing performance in distributed computing environments

• Experience in building complex and scalable Software solutions on AWS
• Proficiency in building machine learning and pipelines that use Generative AI models on AWS
• Strong in programming using Python and should be able to scalable and optimized code
• Hands on experience in designing and building RAG pipelines
• Experience in Prompt Engineering, Vector Database and AI Agents
• In-depth knowledge of the financial services industry and their IT systems

We are seeking a software engineer with expertise in python and prior experience in utilizing LLMs. As an LLM Engineering Lead within Asset and Wealth Management you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform. You will work with an agile team that will work on building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.

Job responsibilities

• Hands on involvement in building and operating highly sophisticated LLM driven applications.
• Partnering directly with other technology teams on LLM projects to advise and assist as needed.
• Collaborating with engineering teams, product, to deliver state of the art LLM based solutions.
• Executing creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Developing secure high-quality production code, and reviews and debugs code written by others.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Educated to degree level in a computer science or related discipline.
• Advanced python programming skills.
• Proven experience in building and operating scalable ML-driven products.
• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) and hands on experience in Azure and AWS
• Proficiency with cloud technologies like Kubernetes, Airflow.
• Experience working in a highly regulated environment.
• Proven ability to iterate quickly.
• Proficient in all aspects of the Software Development Life Cycle.
• Terraform, IaaC experience.
• Experience with design & delivery of large scale cloud-native architectures and microservices performance tuning, performance optimization, real-time applications.

Preferred qualifications, capabilities, and skills

• Experience with financial data and data science.