This role provides an excellent opportunity to gain practical experience in AI model development, data analysis, and the complete machine learning lifecycle while working on real-world projects that impact business outcomes.
What you’ll do
- Explore datasets: clean, label/augment, and build reusable data pipelines.
- Train, evaluate, and iterate on models (classical ML and deep learning).
- Run experiments: design baselines, define metrics, and track results with proper A/B or offline evaluation.
- Build lightweight POCs and demo apps (notebooks → scripts → simple services).
- Contribute to model deployment workflows (packaging, testing, monitoring).
- Document findings and present insights to technical and non-technical stakeholders.
Nice to have
- Experience with LLMs/GenAI (Hugging Face, prompt engineering, RAG, vector DBs).
- Basic SQL, Docker, and one cloud (AWS/GCP/Azure).
- Experiment tracking (MLflow, Weights & Biases) and MLOps basics.
- Familiarity with data labeling tools and evaluation for bias/fairness.
- Strong math/probability/linear algebra background.
Job Type: Internship
Contract length: 3 months
Pay: ₹5,000.00 - ₹10,000.00 per month
Benefits:
- Flexible schedule
- Paid sick time
- Paid time off
- Work from home
Work Location: Remote
Expected Start Date: 15/09/2025