דרושים Branch Operations Lead - Mcpherson Square Dc ב-גיי פי מורגן ב-United States, Washington

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
• 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, opportunity, inclusion, and respect
• Deliver AI/ML based solutions to improve Kubernetes platforms for JPMC
• Regularly provides technical guidance and direction to support the business and its technical teams

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Experience applying data engineering and machine learning techniques
• Experience in Generative AI, LLMs and AI Agents

• Experience working with modern private & public cloud infrastructure platforms - Kubernetes, AWS EKS Terraform, Ansible and other automation tools.
• Experience in multiple Cloud platforms like GCP GKE is a plus
• Knowledge of deep learning and ML Ops workflows
• Experience in Time Series analysis, including forecasting, anomaly detection, and trend analysis

Job Responsibilities:

• Provide architecture and support for the adoption and management of Access Management, Directory & Federation Services, Single Sign-On (SSO), Multi-factor Authentication (MFA), and similar secure authentication services.
• Lead the development and maintenance of the Identity Management Controls, ensuring alignment with industry best practices.
• Develop, build, and maintain technology design and architecture to enable continuous contextual authentication and authorization, fostering innovation and continuous improvement.
• Mentor junior team members and lead cross-functional teams to drive cybersecurity initiatives and projects.
• Engage with stakeholders across various technical and business functions to develop and maintain the roadmap for enterprise IAM solutions, ensuring alignment with strategic goals.
• Conduct risk assessments and manage cybersecurity risks, implementing effective mitigation strategies.
• Maintain up-to-date knowledge of identity and access management best practices and encourage continuous learning and professional development within the team.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on Cybersecurity Architecture concepts and 5+ years applied experience
• Demonstrated design and development experience in large-scale, complex environments with heavy regulatory needs.
• Expertise in Authentication and Authorization protocols, including Active Directory Services, EntraID, ADFS, OAuth, OIDC, SAML, Encryptions, and PKI.
• Hands-on experience delivering Directory services security, Large scale migrations.
• Expertise in Digital Certificate Management (DCM) and rolling out PKI services across enterprise services
• Advanced proficiency in one or more programming languages and object-oriented programming (e.g., Python, Go).
• Proficiency in automation, continuous delivery methods (CI/CD), and Infrastructure as Code (IaC).
• Strong understanding of agile methodologies, application resiliency, and security.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience in directory services and identity data management.

Preferred Qualifications, Capabilities, and Skills:

• Strong skills in cybersecurity, architecture, and process engineering.
• Excellent collaboration, communication, and stakeholder management skills.
• Experience with third-party tools and technologies, including ADFS, Active Directory, Microsoft Entra ID, ForgeRock, Ping Identity/Access, API Gateways, Active Directory, CyberArk, Delinea, and Hashi Corp Vault.

As a
Applied AI ML Lead at JPMorgan Chase within the Corporate Sector – AIML Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

Job Responsibilities

• Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions.
• Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
• Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
• Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
• Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and execution of AI/ML Platform tools across various teams.
• Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
• Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.
• Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree or equivalent practical experience in a related field.
• 8+ years of experience in engineering management with a strong technical background in machine learning.
• Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
• Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
• Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
• Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
• Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.
• Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners.

Preferred Qualifications, Capabilities, and Skills

• Strong coding skills and experience in developing large-scale AI/ML systems.
• Proven track record in contributing to and optimizing open-source ML frameworks.
• Recognized thought leader within the field of machine learning.
• Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.