🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
About the Role: We are seeking a skilled and proactive AI Ops and ML Ops Software Engineer to join our team. This mid-level role is focused on designing, implementing, and managing operational pipelines and infrastructure for AI and machine learning models in production environments. You will work closely with data scientists, DevOps engineers, and software developers to ensure scalability, reliability, and efficiency in delivering AI-driven solutions. Key Responsibilities: Build and manage CI/CD pipelines for deploying AI/ML models to production. Design and implement monitoring systems to track model performance, drift, and operational health. Automate model retraining, testing, and deployment processes. Collaborate with data scientists to ensure seamless integration of models into production systems. Optimize infrastructure for scalable and cost-effective machine learning operations. Troubleshoot and resolve issues in AI/ML pipelines and deployed systems. Implement robust version control and experiment tracking for models and datasets. Ensure compliance with security and data privacy regulations in model operations Required Skills and Experience: 3 5 years of experience in software engineering, with a focus on AI/ML Ops or DevOps. Proficiency in programming languages like Python, Java, or Go. Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Expertise in cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker and Kubernetes. Strong understanding of infrastructure as code (IaC) tools (e.g., Terraform, Ansible). Familiarity with data pipelines and orchestration tools (e.g., Airflow, Kubeflow, Prefect). Knowledge of model monitoring tools (e.g., Evidently AI, MLflow, SageMaker Monitor). Solid problem-solving and debugging skills. Understanding of CI/CD principles and tools (e.g., Jenkins, GitHub Actions). Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, 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.