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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations Your Role - Design and build scalable, reliable backend and platform systems optimized for ML workloads, ensuring high availability and performance - Enforce solid engineering practices including modular design, automated testing, code quality, and scalability standards - Develop and manage cloud-native infrastructure with Kubernetes, containers, and microservices, while optimizing for cost and resilience - Establish and scale CI/CD pipelines across both application and ML lifecycles, with full observability (logging, metrics, tracing) - Architect and implement end-to-end MLOps pipelines, from data ingestion through deployment, monitoring, and automated retraining - Drive automation in model lifecycle management including versioning, experiment tracking, reproducibility, and governance using tools like MLflow, Kubeflow, and Airflow - Define, monitor, and continuously improve model performance using key metrics (accuracy, latency, drift, bias), with robust evaluation and A/B testing frameworks - Lead cross-functional teams and collaborate with stakeholders to deliver scalable AI solutions while shaping the ML platform strategy and adoption roadmap Your Skills - Strong foundation in Software Engineering (Java/Python/Go) and system design - Expertise in DevOps practices (CI/CD, Docker, Kubernetes, Infrastructure as Code) - Proven experience in MLOps frameworks and model lifecycle management - Deep understanding of model accuracy, evaluation metrics, and monitoring strategies - Hands-on experience with cloud platforms (GCP/AWS/Azure) - Prior experience managing engineering teams Why you will love working at Capgemini - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work life balance. Location - Salem,Tiruchirapalli,Bengaluru,Bhubaneswar,Chennai,Coimbatore,Gandhinagar,Gurugram,Hyderabad,Kanchipuram,Kolkata,Calcutta,Mumbai,Navi Mumbai,Noida,Pune .
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.