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Our client is seeking a Senior MLOps Engineer to build and support the infrastructure that enables machine learning solutions to operate reliably in production. This opportunity is ideal for an experienced professional who enjoys combining cloud engineering, automation, and machine learning operations to deliver scalable AI platforms. Key Responsibilities Build and maintain machine learning deployment pipelines. Automate model deployment, monitoring, and retraining processes. Implement CI/CD practices for machine learning applications. Manage model versioning, governance, and operational monitoring. Optimise cloud infrastructure supporting AI workloads. Collaborate with machine learning engineers, data scientists, and platform engineers. Improve reliability, scalability, and performance of production AI systems. Support continuous improvement of enterprise AI platforms. Requirements Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. 10+ years' experience in DevOps, cloud engineering, or machine learning operations. Experience supporting production machine learning environments. Strong Python scripting and cloud platform experience. Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code. Understanding of model lifecycle management and ML monitoring. Excellent troubleshooting and automation skills. Advantageous Experience with MLflow, Kubeflow, or similar MLOps platforms. Azure or AWS certifications. Experience supporting enterprise AI environments. Knowledge of modern observability tools. Personal Attributes Detail-oriented and proactive. Passionate about automation and AI. Strong collaboration and communication skills. Excellent analytical and problem-solving ability. Dedicated to operational excellence. Only shortlisted candidates will be contacted. Submit your CV to [Email Address Removed] or call [Phone Number Removed]; . Visit our website for more exciting career opportunities: [URL Removed] Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful. Desired Skills: Strong collaboration communication Senior MLOps Engineer
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.