Senior ML Engineer

We are looking for a skilled senior ML engineer to design, develop, deploy, and maintain scalable AI/ML solutions on cloud platforms. The candidate will work closely with data scientists, engineering, and business teams to build production-grade AI systems, MLOps pipelines, APIs, and cloud-native applications.
Responsibilities:
Design and implement scalable cloud solutions on AWS/Azure.
Develop backend services, REST APIs, microservices, and serverless applications using Python.
Build and manage MLOps pipelines for ML/GenAI model deployment and monitoring.
Deploy and manage containerised applications using Docker and Kubernetes (EKS/AKS).
Develop and maintain CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps.
Implement Infrastructure-as-Code using Terraform/ARM templates.
Work with data scientists to productionise AI/ML models.
Monitor application performance, reliability, security, and cloud cost optimisation.
Troubleshoot deployment and infrastructure issues.
Maintain technical documentation and deployment guidelines.
Collaborate with cross-functional teams and mentor junior engineers.
Requirements:
3-5 years of experience in AWS and/or Azure.
Strong programming experience in Python.
Hands-on experience with Docker and Kubernetes, Terraform / ARM Templates, MLflow or similar MLOps tools, Jenkins / GitHub Actions / Azure DevOps, REST APIs and microservices.
Knowledge of cloud security, networking, monitoring, and logging.
Experience with scalable AI/ML production systems is preferred.
Preferred Qualifications:
Bachelor's/Master's degree in computer science or a related field.
AWS/Azure/Kubernetes certifications are an added advantage.
Experience in consulting or enterprise-level projects is preferred.

Experience
3-7 yrs