As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

• Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
• Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
• Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
• Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
• Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
• Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

As a robotics research engineer, the candidate will work on developing a new testbed towards automation autonomous disassembly process in e-waste management. The candidate will assist in:

• Development of the testbed to integrate sensors, robots, conveyor belts, workbench, controllers, etc.
• Programing and integrating industrial robots to perform tasks such as pick-n-drop and execution of disassembly action.
• Development and maintenance of prototype applications based on controllers such as Raspberry Pi and Arduino
• Improving trajectory planning algorithms to ensure high throughput of operations such as pick-n-drop
• Developing automated robot trajectory planning for robotic 3D scanning and disassembly, and automated generation and execution of disassembly actions.
• Closely communicate with other teams and presentation slides

This is a global, multi-discipline team responsible for architecting and delivering secure, robust, and innovative solutions which would enable the development teams to build and deploy new applications as well as migrate selected existing applications into the public cloud.

The team works with multiple public cloud providers and are presently looking for an experienced Cloud Engineer familiar with various cloud concepts, services, and tools, preferably from multiple public cloud providers but primarily in the Cloud Identity and Access Management (CIAM) space. The candidate will be involved in multiple aspects of the team’s work, including evaluation of new cloud products and services, and integrating them into standard client cloud solutions.

• Providing IAM solutions for migrating existing or integrating new applications in the Client environment across multiple Cloud providers including but not limited to Azure and AWS
• Provide IAM services for complex, multi-tier applications that are migrating to Cloud Platforms
• Selecting appropriate IAM Cloud controls for migrating applications based on given requirements
• Working in a globally distributed team to provide innovative and robust Cloud centric solutions
• Closely working with Vendors to develop and deploy Cloud services to meet customer expectations
• Integrate, configure, document, and deploy compliant infrastructure and supporting services in the Cloud platform
• Design, Optimization and Document the Operational aspects of the Cloud platform
• Troubleshooting problems, resolving root cause, and where possible, fixing the bug(s)
• Collaborate with Risk Management to ensure necessary controls to Cloud services are deployed and tested Skills Required:
• Strong knowledge of Azure AD and related services such as Conditional access, Identity protection, Privileged identity management, etc.
• Strong knowledge of authentication with SAML, OAuth, OpenID, and Kerberos
• Experience in providing Federated Identity with solutions such as PING Federate or ADFS
• Knowledge of the Zero Trust Architecture principles
• Prior experience in providing RBAC solutions for AWS and Azure
• Experience creating technical architecture documentation
• Strong communication and written skills
• Strong scripting and automation abilities including PowerShell and/or Python

Skills Desired:

• Prior experience in the Identity space with a background in Active Directory or similar LDAP stores
• Working knowledge of Azure Active Directory Connect synchronization software or similar technology
• Prior experience using compliance assurance tooling such as Prisma Cloud
• Prior experience with products from HashiCorp such as Terraform, Vault and Consul
• Prior experience with risk control frameworks and engagements with risk and regulatory functions
• Knowledge and experience of working with CI/CD frameworks and methodologies such as automated testing (unit / integration) and release pipelines (e.g. Jenkins, GitHub Actions)
• Experience in the financial industry