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Job Summary As a AI Ops Engineer, you will play a critical role in the design, development, and deployment of AI platform. You will work collaboratively with a cross-functional teams, focusing on MLOps & LLMops pipeline, machine learning standardization, GPU and cloud platform setup, and data integrations. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions. Key Responsibilities Responsible for designing and delivering hybrid AI Platform. Maintain scalable, efficient and reliable data and AI pipelines. Maintain MLOps and LLMOps pipeline across Databricks and on-prem clusters. Develop and implement AI and ML models to enhance operations and automate routine tasks. Monitor and analyse system performance, identifying and resolving issues proactively. Create and maintain documentation for AIOps processes and solutions. Conduct root cause analysis and implement corrective actions to prevent future incidents. Design, implement & maintain monitoring strategy for AI Platform across central observability. Ensure AI platform delivery and services meet security and risk requirements and operational SLA. Collaborate with data scientist, data engineers, and central data governance team to align with a standardised data strategy. Collaborate with other teams to integrate AIOps solutions to existing services (ServiceNow, Elk, etc) Cross-Collaborate with technology and architecture teams to align with best practices and standards. Perform code-reviews ensuring lower tech debt and avoiding spaghetti code. Stay up to date with industry trends, research in artificial intelligence field. Develop and maintain strong relations ships with internal and external stakeholders. Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders TTO Management Team T&A Management Team CDO Software Engineering Platform Teams Business, Regional & Country CIOs & COOs Operational, Technology & Cyber Risk Chief Data Office Group and Country Compliance & Regulators Group Internal Audit Group Operational Risk Skills And Experience Hands on with AI platform Development Hands on with ML framework, best practices and ops implementation Hands-on experience with GPU computing and optimization for AI workloads Experience with MLOps and LLMOps pipeline in Databricks and On-prem clusters. Experience with design and implementation of robust data integration pipelines Programming languages such as Python, Java, or C++. Qualifications Experience: 4-6 years of experience in engineering or operation disciplines of AI Ops and ML Ops, with a proven track record of delivering complex AI projects. Technical Expertise: Strong proficiency in data platform (e.g. Databricks), CICD (e.g. Azure DevOps), machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), cloud platforms (e.g., Azure, AWS) and infrastructure as code (e.g. Terraform). GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads. Programming Skills: Proficiency in programming languages such as Python, Java, C++ Data Engineering: Exposure to data engineering, integration, ETL and large datasets. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment. Education: Engineering Degree Or Equivalent Training: AI / ML Certifications: AI / ML, Databricks, Azure, Terraform About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.