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