Machine learning engineer

Role : Senior MLOps / LLMOps Engineer
Location : Hyderabad
Work Model : Mon to Friday (Work from office)
We are looking for a Senior MLOps / LLMOps Engineer with strong expertise in Databricks , Azure , and Python to design, build, and manage scalable ML and LLM pipelines in production environments. The ideal candidate will have hands-on experience deploying and operationalizing machine learning and large language models on cloud platforms.
Key Responsibilities:
Design, build, and maintain end-to-end MLOps and LLMOps pipelines for production workloads.
Develop and manage ML workflows on Databricks for training, testing, and deployment.
Deploy and monitor ML and LLM models in Azure environments.
Automate model training, validation, versioning, and monitoring processes.
Collaborate with data scientists, data engineers, and platform teams to ensure scalable and reliable ML solutions.
Optimize model performance, reliability, and cost in production.
Implement best practices for model governance, monitoring, and lifecycle management.
Required Skills & Qualifications:
7+ years of experience in ML Engineering, Data Engineering, or Platform Engineering.
Strong hands-on experience with MLOps and LLMOps pipelines in production.
Deep expertise in Databricks for ML workloads.
Experience deploying ML and LLM models on Microsoft Azure.
Strong proficiency in Python and ML frameworks.
Solid understanding of machine learning concepts and LLM architectures