Kubernetes-container-platforms Empregos à distância e no escritório em casa ∙ Página 8
2793 Empregos à distância e em escritório em casa online
Engenharia de Observabilidade / Plataforma (SDKs Multiplataforma) Hibrido- 128454 (Alphaville - Barueri, BR, 06.454-000)
GFT Technologies · Barueri, Brasil · Hybrid
Teacher-Special Education-Emotional Regulation Impairment-Self-Contained Classroom
Montgomery Township Board of Education · Montgomery, Estados Unidos Da América · Onsite
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Head of IT & Engineering (m/w/d) | Innovatives Umfeld | SaaS Plattform
Arztkonsultation ak GmbH / Kooku Recruiting Partners · Schwerin, Alemanha · Hybrid
Working Student Platform Product Management (f/m/d) (Berlin, BE, DE, 10557)
Elia Group · Berlin, Alemanha · Onsite
Werkstudentin Platform Product Management (m/w/d) (Berlin, BE, DE, 10557)
Elia Group · Berlin, Alemanha · Onsite
Android Engineer II (Growth, Platform, & Healthcare)
Whoop · Boston, Estados Unidos Da América · Onsite
Product Manager – Cross Platform Based App & Thermal Innovation
Lanco · Homewood, Estados Unidos Da América · Onsite
Senior Software Engineer, Autonomy Evaluation Platform
Zoox · Foster City, Estados Unidos Da América · Hybrid
AI Platform - Software Engineer - .Net
UBS Group AG · Pune, Índia · Onsite
- Professional
- Escritório em Pune
Your role
Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users? Join our team to help the bank efficiently manage AI operations!
As an AI Platform engineer, you will leverage cutting edge technologies and best practice methodologies to build solutions that will help users across the bank manage their models and agents efficiently and reliably.
Our diverse, cross-functional team of MLOps engineers, DevSecOps specialists and software engineers builds products and services that help data scientists and engineers efficiently develop, deploy, monitor, and secure GenAI and ML models into agentic ecosystems.
We are looking for an engineer to:
• develop production-ready, robust, and scalable systems in the domain of Agentic operations with focus on next generation technology
• work closely with cross-functional teams to design, develop, and deploy intelligent agents that leverage LLMs, knowledge graphs, APIs, and enterprise data sources
• work in an agile setup to provide technical solutions that will vastly improve the lives of end users such as model developers, data scientists and quants
• bring considerable savings to UBS by improving the time to market of our AI applications, whilst adhering to the operational controls and governance
You will contribute to initiatives such as:
• developing and managing a centralized model registry for the bank
• developing tools and SDKs to simplify interaction with the Enterprise Data Mesh
• developing CICTCD pipelines for different runtimes and platforms
• developing APIs and services for AI products, such as for monitoring of models and agents for performance, security and auditability
• integrating security solutions such as model scanners, AI firewalls, secure communications, entitlements and controls
As an AI Platform engineer, you will leverage cutting edge technologies and best practice methodologies to build solutions that will help users across the bank manage their models and agents efficiently and reliably.
Our diverse, cross-functional team of MLOps engineers, DevSecOps specialists and software engineers builds products and services that help data scientists and engineers efficiently develop, deploy, monitor, and secure GenAI and ML models into agentic ecosystems.
We are looking for an engineer to:
• develop production-ready, robust, and scalable systems in the domain of Agentic operations with focus on next generation technology
• work closely with cross-functional teams to design, develop, and deploy intelligent agents that leverage LLMs, knowledge graphs, APIs, and enterprise data sources
• work in an agile setup to provide technical solutions that will vastly improve the lives of end users such as model developers, data scientists and quants
• bring considerable savings to UBS by improving the time to market of our AI applications, whilst adhering to the operational controls and governance
You will contribute to initiatives such as:
• developing and managing a centralized model registry for the bank
• developing tools and SDKs to simplify interaction with the Enterprise Data Mesh
• developing CICTCD pipelines for different runtimes and platforms
• developing APIs and services for AI products, such as for monitoring of models and agents for performance, security and auditability
• integrating security solutions such as model scanners, AI firewalls, secure communications, entitlements and controls
City
Pune
Job Type
Full Time
Country / State
India
Function Category
Information Technology (IT)
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team
Enterprise AI Suite is a new and important unit in the Group CTO (GCTO) function within the Technology Services division. GCTO provides centralised services, platforms, tooling, transformative and regulatory compliance initiatives, and enterprise architecture for all the UBS divisions.
We are a multinational team with diverse backgrounds and we strongly value different perspectives, skills and experiences which helps us build the best product for our clients.
Our team offers comprehensive training tailored for cross-competency advancement and career progression.
If your interests and skills closely match a good part of the skills listed below – let us know!
We are a multinational team with diverse backgrounds and we strongly value different perspectives, skills and experiences which helps us build the best product for our clients.
Our team offers comprehensive training tailored for cross-competency advancement and career progression.
If your interests and skills closely match a good part of the skills listed below – let us know!
Your expertise
- strong software engineering skills (design & architecture, coding excellence, championing best practices, promoting automated testing, constructive code and design reviews, debugging & problem solving, communication and agile planning)
- polyglot programming: Strong proficiency in one or more language such as .Net , Java, Rust, Python with a focus on writing clean, efficient, and maintainable code. Willing and able to learn new languages quickly. Must be willing to learn Python.
- devOps and CI/CD: experience in setting up and managing CI/CD pipelines to automate build, test, and deployment processes (e.g. using GitLab)
Additional skills that would be beneficial:
- cloud: Solid understanding of cloud services, capabilities, and architecture. Experience in deploying, managing, and scaling applications. Preference for Azure.
- scripting: for automating cloud-related tasks. (e.g. bash and / or PowerShell for Azure automation)
- problem solving & Critical thinking: Ability to quickly diagnose and resolve systems issues. Identify performance bottlenecks and optimize infrastructure
- infrastructure as Code: good knowledge of provisioning and managing cloud infrastructure (e.g. using Terraform)
- containerization and Orchestration: Expertise in Docker and Kubernetes, ideally also with Azure Kubernetes Service (AKS) for deploying and managing containerized applications.
- cloud Security: Understanding of cloud security best practices, e.g. role-based access control (RBAC), network security groups (NSGs), and Azure Active Directory (AAD).
- business Continuity and Disaster Recovery knowledge is a plus, e.g. strategies and tools for ensuring data integrity and service availability in case of failures.
- incident Management is a plus, e.g. experience in managing incidents, conducting root cause analysis, and implementing corrective actions.
- cost Management is a plus, e.g. experience in using Azure Cost Management tools to monitor and optimize cloud costs.
- ansible is a plus, e.g. experience with Ansible for configuration management and automation would be beneficial.
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- polyglot programming: Strong proficiency in one or more language such as .Net , Java, Rust, Python with a focus on writing clean, efficient, and maintainable code. Willing and able to learn new languages quickly. Must be willing to learn Python.
- devOps and CI/CD: experience in setting up and managing CI/CD pipelines to automate build, test, and deployment processes (e.g. using GitLab)
Additional skills that would be beneficial:
- cloud: Solid understanding of cloud services, capabilities, and architecture. Experience in deploying, managing, and scaling applications. Preference for Azure.
- scripting: for automating cloud-related tasks. (e.g. bash and / or PowerShell for Azure automation)
- problem solving & Critical thinking: Ability to quickly diagnose and resolve systems issues. Identify performance bottlenecks and optimize infrastructure
- infrastructure as Code: good knowledge of provisioning and managing cloud infrastructure (e.g. using Terraform)
- containerization and Orchestration: Expertise in Docker and Kubernetes, ideally also with Azure Kubernetes Service (AKS) for deploying and managing containerized applications.
- cloud Security: Understanding of cloud security best practices, e.g. role-based access control (RBAC), network security groups (NSGs), and Azure Active Directory (AAD).
- business Continuity and Disaster Recovery knowledge is a plus, e.g. strategies and tools for ensuring data integrity and service availability in case of failures.
- incident Management is a plus, e.g. experience in managing incidents, conducting root cause analysis, and implementing corrective actions.
- cost Management is a plus, e.g. experience in using Azure Cost Management tools to monitor and optimize cloud costs.
- ansible is a plus, e.g. experience with Ansible for configuration management and automation would be beneficial.
-
About us
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
We have a presence in all major financial centers in more than 50 countries.
We have a presence in all major financial centers in more than 50 countries.
How we hire
We may request you to complete one or more assessments during the application process. Learn more
