Senior Developer, Machine Learning Ops

Posted 9 Days Ago
Be an Early Applicant
North Tower Forest, TN, USA
In-Office
Senior level
Financial Services
The Role
The role focuses on building and integrating AI solutions within UOB, working with data scientists and DevOps to ensure optimized AI pipelines and model deployments.
Summary Generated by Built In

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

Who We Are
Enterprise Analytics (EA) stands at the forefront of UOB's vision, aiming to establish the bank as a leader in deploying cutting-edge Machine Learning models. Comprising a team of experts, we focus on enhancing the bank's capabilities in supporting key areas such as Risk, Wealth, Retail, etc., with a strong emphasis on coordination in data management, technology, and internal stakeholder collaboration.

Upholding to UOB’s core value of being enterprising, we are incredibly thrilled about strengthening this strategic unit’s capabilities for the bank, envisioning significant progress and innovation. We firmly believe that advanced analytics is a pivotal factor in delivering premier AI services to our stakeholders.

Your Profile
We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.
Your Role
This MLOps / Integration Engineer role focuses on building and integrating Traditional AI, Generative AI, and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

Key Responsibilities:

  • Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
  • Ensure seamless deployment and integration between cloud/prem environments (AWS).
  • Integrate AI models into production environments using containerized platforms such as OpenShift.
  • Implement and maintain network security protocols to safeguard AI systems and data pipelines.
  • Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
  • Monitor and optimize system performance, reliability, and scalability.
  • Support CI/CD processes and infrastructure for AI model deployment and updates

Key Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Bash and Unix/Linux command-line toolkit is a must-have.
  • Hands-on experience with OpenShift, Docker, Kubernetes.
  • Knowledge of cloud platforms (e.g. AWS) is a must-have.
  • Exposure to data and network security and compliance in AI systems.
  • Knowledge of API integration and microservices architecture.
  • Proficiency in Python used both for automation and ML-related tasks
  • Knowledge of Workflow Orchestrator, such as Ctrl-M
  • Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
  • Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
  • Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Bash and Unix/Linux command-line toolkit
  • Hands-on experience with OpenShift, Docker, Kubernetes
  • Knowledge of cloud platforms (e.g. AWS)
  • Exposure to data and network security and compliance in AI systems
  • Knowledge of API integration and microservices architecture
  • Proficiency in Python for automation and ML-related tasks
  • Knowledge of Workflow Orchestrator, such as Ctrl-M
  • Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos
  • Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry
  • Understanding of Generative AI and Agentic AI concepts
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The Company
25,000 Employees
Year Founded: 1935

What We Do

We’re here to do Right By You. At UOB, we aspire to build a better future for the people and businesses in the region. Through our extensive network and suite of capabilities, we offer financial solutions to the people and businesses within, and connecting with ASEAN. We create solutions tailored to your unique needs through data and relationship-led insights. Our comprehensive regional network and one-bank approach connects your business to new opportunities in ASEAN. We help businesses to advance responsibly and guide personal wealth to grow sustainably. We foster inclusiveness and environmental well-being for stronger societies. This is how we stay committed to forging a sustainable future for generations to come. Note: For the terms of use of our LinkedIn channel, please visit: https://go.uob.com/socialmedia

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