MLOps Engineer Location: [India] Job Type: Full-time, Remote Experience Level: 3 to 7yrs About the Role We are looking for an MLOps Engineer to help scale, deploy, and maintain machine learning (ML) and Generative AI (GenAI) based solutions. In this role, you will work with cloud-based ML infrastructure to optimize model training, deployment, and monitoring. The ideal candidate has hands-on experience in MLOps, model deployment, and cloud scaling (Azure or Oracle stack). While experience with GenAI is a plus, we are looking for someone with a strong learning mindset, a willingness to experiment, and the ability to adapt quickly to new challenges. Key Responsibilities Develop and scale MLOps pipelines to support ML GenAI based solutions. Automate model retraining, deployment, and monitoring to ensure seamless operation in production. Optimize compute, storage, and networking for AI workloads to improve efficiency. Work with cloud ML platforms such as Azure ML and/or OCI AI Services, or equivalent infrastructure. Implement observability and performance tracking to monitor deployed models. Explore and experiment with GenAI scaling strategies for better efficiency and performance. Requirements Proficiency in Python for ML development and automation. Hands-on experience with Azure or Oracle Cloud stack. Proven ability to deploy and scale ML models effectively. Strong knowledge of MLOps tools, such as MLflow, Kubeflow, CI/CD, Docker, and Kubernetes. Experience with monitoring and optimizing ML pipelines to ensure performance and reliability. Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment. What We Offer: Career Growth: Opportunity to grow within a rapidly expanding organization. Cutting-Edge Technology: Work with a Microsoft Gold Partner organization and the latest technologies. People-First Culture: Be part of a company that values its employees. Comprehensive Insurance Coverage: Company-paid Group Mediclaim Insurance for employees, spouses, and up to 2 kids (INR 4,00,000 per annum). Company-paid Group Personal Accidental Insurance (INR 10,00,000 per annum). Career Development: Company-paid Manager-approved career advancement opportunities. Referral Bonus: Best-in-the-industry referral bonus policy. Work-Life Balance: 29 paid leaves per year . Maternity Benefits: Company-paid maternity leave