🎁 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 →
Job Title : MLOps Engineer Mode: Hybrid Experience : 4 to 7 Years Location : Hyderabad (Priority)/Bengaluru locations only Notice Period : Immediate Joiner Job Summary We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment. Key Responsibilities Develop and maintain machine learning pipelines for training, testing, and deploying models Design and implement infrastructure for managing and monitoring machine learning models Work with data scientists to build scalable, efficient, and automated model training and testing processes Collaborate with software engineers to integrate machine learning models into production systems Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance Develop and maintain documentation and best practices for MLOps processes and procedures. Experience Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale Proficiency in programming languages such as Python, Java, and C++ Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras Experience with containerization technologies such as Docker and Kubernetes Strong understanding of DevOps principles and practices Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Skills:- MLOps, Python, DevOps, Docker, Amazon Web Services (AWS), Windows Azure, Microsoft Windows Azure, Google Cloud Platform (GCP), TensorFlow, PyTorch, Kubernetes and Java
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.