ML OPS - Graduate Engineer

Job Description

About the Role

We are looking for a highly motivated MLOps Intern to support Generative AI solutions. The intern will work closely with ML Engineers, and Cloud Engineers to improve the reliability and scalability of AI systems.

Key Responsibilities

• Assist in deploying and maintaining machine learning models in development, staging, and production environments.
• Help automate ML workflows using CI/CD tools and DevOps best practices.
• Monitor model performance, data drift, and system health metrics.
• Assist in setting up logging, observability, and alerting mechanisms for ML systems.
• Document processes, workflows, and technical configurations.

Required Qualifications

• Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or related field.
• Understanding of Machine Learning concepts and model lifecycle.
• Proficiency in Python programming.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Familiarity with MLOps tools such as:
• Exposure to monitoring tools like Prometheus, Grafana, or Azure Monitor.
• Familiarity with SQL and data engineering concepts.
• Exposure to Large Language Models (LLMs), Prompt Engineering, and Generative AI workflows.

Mandatory Competencies