AI-ML Intern

Syngenta Group • Durham, NC

2h • $21 - $40

About The Position

We are seeking a curious and driven AI/ML Intern to join our team and contribute to the development and deployment of cutting-edge machine learning systems, with a special focus on Generative AI. This internship offers hands-on experience at the intersection of machine learning, software engineering, and MLOps, including exposure to large language models (LLMs), fine-tuning techniques, and AI agentic systems.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• Strong programming skills in Python
• Basic understanding of machine learning concepts and workflows
• Familiarity with version control systems (Git)
• Knowledge of Linux/Unix command line
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities
• Eagerness to learn and adapt to new technologies

Nice To Haves

• Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Exposure to cloud platforms (AWS, GCP, Azure)
• Understanding of containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD tools (GitLab CI, GitHub Actions)
• Understanding of monitoring and logging tools
• Basic knowledge of infrastructure as code (Terraform, CloudFormation)
• Coursework or projects in machine learning, deep learning, or data engineering
• Experience with LLM deployment and optimization
• Knowledge of model quantization, distillation, and optimization techniques
• Familiarity with feature stores and vector databases
• Understanding of data versioning and experiment tracking
• Exposure to agentic systems and autonomous AI agents, such as LangGraph

Responsibilities

• Assist in building and maintaining ML pipelines for training, evaluation, and deployment of generative models
• Support the deployment and monitoring of LLMs in production environments
• Help implement CI/CD workflows for model versioning and automated testing
• Contribute to infrastructure automation using tools like Docker, Kubernetes, and cloud platforms
• Document AI/ML processes, best practices, and technical solutions
• Participate in code reviews and learn industry-standard development practices

Benefits

• A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees