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About the Role Our client is a pioneering technology company dedicated to building state-of-the-art AI infrastructure and platforms. We are seeking a skilled and motivated Machine Learning Engineer with a focus on Deep Learning Platforms to join our team in Thiruvananthapuram, Kerala, IN . In this role, you will be responsible for designing, building, and maintaining the infrastructure that enables our data scientists and researchers to develop and deploy cutting-edge deep learning models efficiently. This includes optimizing training pipelines, managing hardware resources, and ensuring the scalability and reliability of our ML platform. This is an exciting opportunity to work at the intersection of AI, software engineering, and cloud computing, contributing to the foundation of our advanced AI capabilities. We are looking for individuals who are passionate about enabling AI innovation through robust engineering.Key Responsibilities Design, develop, and maintain scalable deep learning infrastructure and platforms. Optimize ML training pipelines for speed, efficiency, and cost-effectiveness. Manage and provision GPU clusters and other specialized hardware resources. Implement MLOps best practices for model deployment, monitoring, and management. Collaborate with data scientists and researchers to understand their platform needs and provide solutions. Develop tools and services to streamline the ML development workflow. Troubleshoot and resolve issues related to ML infrastructure and platform performance. Stay current with the latest advancements in deep learning frameworks, hardware, and MLOps tools. Contribute to the overall architecture and strategic direction of our AI platform. Requirements Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 4+ years of experience in machine learning engineering or software engineering, with a strong focus on deep learning infrastructure. Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with cloud platforms (AWS, Azure, GCP) and their ML services. Strong understanding of distributed computing and containerization technologies (e.g., Docker, Kubernetes). Familiarity with MLOps principles and tools (e.g., Kubeflow, MLflow). Excellent problem-solving, debugging, and troubleshooting skills. Strong communication and collaboration abilities. Experience working within the Thiruvananthapuram, Kerala, IN region is essential. Benefits Our client offers a competitive salary and bonus structure, along with a comprehensive benefits package including health, dental, and vision insurance. We provide a dynamic work environment with excellent opportunities for professional growth and development, including training, workshops, and conference attendance. Employees receive generous paid time off and other key benefits designed to support their well-being. This role is based at our office in Thiruvananthapuram, Kerala, IN . .
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.
