MLOps Engineers bridge the gap between data science and IT operations. They design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production. Their work ensures that ML models are robust, reproducible, and efficiently integrated into business applications.
₹8,00,000 - ₹40,00,000 per annum (based on experience, expertise, and organization)
MLOps Engineers are in high demand across industries adopting AI and ML at scale, including technology, finance, healthcare, e-commerce, and manufacturing. Their expertise is crucial for operationalizing ML solutions and ensuring their reliability in production.
MLOps Engineers typically work in collaborative, fast-paced environments, often as part of cross-functional teams with data scientists, software engineers, and IT professionals. The role involves continuous learning and adapting to evolving tools and best practices in ML and DevOps.