About The Role
As an AI Infrastructure Engineer at Ashok Enterprise, you will play a crucial role in building and maintaining scalable, reliable, and efficient infrastructure for training and deploying machine learning models. You will work closely with data scientists, engineers, and product managers to ensure the successful deployment and optimization of AI systems in production environments.
Responsibility
- Design and implement scalable infrastructure for AI model training and deployment
- Collaborate with cross-functional teams to integrate AI solutions into production environments
- Optimize and monitor AI systems for performance and reliability
- Troubleshoot and resolve infrastructure issues to ensure smooth operation of AI workflows
Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- 3+ years of professional software engineering experience, with at least 1-2 years focused on AI/ML engineering or MLOps
- Strong proficiency in a major programming language (e.g., Python, Java, Go)
- Hands-on experience with MLOps tools like Kubernetes, Docker, Jenkins, MLflow, Kubeflow
- Experience with at least one major cloud platform (AWS, GCP, or Azure)
- Strong analytical and problems-solving skills
