Remote ML/LLM Ops Intern

Description:

• The ML Ops / LLM Ops Intern will support the AI product development team.
• This role provides hands-on experience in deploying and maintaining machine learning models.
• Interns will optimize model performance and ensure smooth AI operations.
• The position involves working with the latest cloud-based ML tools, automation pipelines, and model serving frameworks.
• Experience with large language models (LLMs) and integrating applications with AI agents is highly desirable.
• Key responsibilities include assisting in deploying and monitoring machine learning models in production environments, developing and maintaining CI/CD pipelines for ML model training and inference, optimizing infrastructure and model performance for scalability and efficiency, managing ML workflows with cloud services (AWS, GCP, or Azure), troubleshooting and improving model serving, logging, and monitoring systems, and collaborating on integrating applications with AI agents and LLMs.

Requirements:

• Candidates must be recent bachelor graduates in Computer Science, Engineering, or a related field.
• A basic understanding of ML model deployment, Docker, Kubernetes, and cloud services is required.
• Experience with Python, TensorFlow/PyTorch, and MLflow is a plus.
• Familiarity with automation tools and scripting (Bash, Terraform, etc.) is necessary.
• Experience working with LLMs and AI agent integration is preferred.
• There is a strong preference for candidates with experience in OpenAI and Azure environments.
• Full-time availability is required.
• Advanced proficiency in English is mandatory.

Benefits:

• Interns will work on cutting-edge AI deployment and scaling challenges.
• They will gain hands-on experience with real-world AI production systems.
• Mentorship from experienced AI engineers will be provided.
• There is an opportunity for a full-time position upon successful completion of the internship.