Machine Learning Engineer - MLOps

Role : Machine Learning & MLOps Engineer

Location : Hyderabad (Hybrid 3 days onsite)

Experience : 5+ Years

Employment Type : Full-Time

Client : Leading Healthcare Data Analytics Company

Availability : Immediate the Role :

We are hiring a Machine Learning & MLOps Engineer for our Hyderabad office (Hybrid Mode). The role is with a Healthcare Data Analytics client building scalable, secure, and production-grade AI / ML systems.

This position requires expertise in designing, deploying, and managing ML solutions in production environments, with a focus on automation, scalability, and Responsibilities :

• Design, develop, and optimize ML models for business-critical use cases.
• Build and manage end-to-end MLOps pipelines (deployment, monitoring, retraining, lifecycle management).
• Collaborate with data engineers, developers, and cross-functional teams to deliver seamless ML integration.
• Automate workflows for data preprocessing, feature engineering, and retraining.
• Ensure reproducibility, scalability, and observability of deployed ML systems.
• Implement CI / CD workflows, containerization (Docker), and orchestration (Kubernetes).
• Monitor deployed models for performance, drift, and Skills :
• 5+ years of experience in ML Engineering & MLOps.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with Docker, Kubernetes, CI / CD pipelines.
• Strong expertise in AWS, Azure, or GCP cloud platforms.
• Experience deploying scalable and secure ML to Have :
• Experience with Big Data tools (Spark, Databricks, Hadoop).
• Knowledge of Feature Stores and real-time pipelines.
• Experience with real-time model serving and streaming architectures.
• Exposure to healthcare or regulated industries.

(ref : hirist.tech)