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.

Skills

AWS, Azure, Docker, GitHub Actions, Jenkins, Kubernetes, MLflow, Python