Graduate Trainee

Calix is a leading cloud and software platform provider enabling broadband service providers to simplify operations, innovate faster, and deliver exceptional digital experiences. At Calix, interns are treated as full contributors, working on meaningful, production‑relevant problems with real business impact, supported by strong mentorship and a collaborative engineering culture.
We are looking for a highly motivated AI / Machine Learning Intern to join the Calix AI/ML team. In this role, you will work on real-world AI/ML and Generative AI problems, contributing to models, pipelines, and intelligent systems that power next‑generation Calix products.
This is not a shadowing role—you will design, build, experiment, and ship alongside experienced engineers and data scientists.
Were at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.
Key Responsibilities

• Design, implement, and experiment with machine learning and deep learning models for product use cases
• Work on end‑to‑end ML workflows, including:
• Data preprocessing and feature engineering
• Model training, evaluation, and optimization
• Experiment tracking and result analysis
• Contribute to Generative AI and agentic systems, including:
• LLM‑based workflows
• AI agents, orchestration, and prompt engineering
• Develop prototypes and proof‑of‑concepts that can evolve into production features
• Write clean, maintainable, and well‑documented Python code
• Collaborate with cross‑functional teams (engineering, product, platform)
• Present findings, demos, and outcomes to the broader team
  

Required Qualifications:

• Recently completed a Bachelors degree with CGPA of 8 & above (2024/25 pass out) in:
  
• Computer Science
• Artificial Intelligence
• Machine Learning
• Data Science
• Or a related engineering discipline
• Strong Python programming skills
• Solid understanding of core AI/ML concepts, including:
• Multi Agent Systems
• MCP server and tool calling
• Supervised and unsupervised learning
• Model evaluation and validation
• Feature engineering basics
• Familiarity with common AI/ML libraries/frameworks such as:
• LangGraph, CrewAI, Google ADK, Microsoft AutoGen, PyTorch, TensorFlow, or scikit‑learn
• Comfortable working in a Linux/Unix environment
• Experience using Git or other version control systems
  

Added Advantage (Nice to Have):

• Hands‑on project experience in:
• Machine Learning / Deep Learning
• Generative AI or LLM‑based systems
• Agentic AI or multi‑agent frameworks
• Exposure to:
• NLP, time‑series, recommendation systems, or anomaly detection
• Model deployment concepts or MLOps fundamentals
• Experience with:
• Cloud platforms (AWS, GCP, or Azure)
• Data processing frameworks (e.g., Spark)
• Strong problem‑solving mindset and curiosity to explore new AI techniques
  

What Youll Gain:

• Hands‑on experience working on production‑grade AI systems
• Exposure to modern AI stacks, including generative AI and agents
• Mentorship from senior engineers and AI practitioners
• Opportunity to make a measurable impact on Calix products
• A strong foundation for a full‑time role in a product‑focused AI/ML team