17 Aug
|
waters
|
Bengaluru
Overview
As a Data Platforms Intern, you will work closely with the Data Platforms & Analytics team to support real-world data engineering and machine learning projects. This is an excellent opportunity to gain hands-on experience with Databricks, AI/ML frameworks, and emerging GenAI and Agentic AI technologies
Responsibilities
Assist in developing and maintaining data pipelines using Databricks (PySpark/SQL).
Support the design, training, and evaluation of AI/ML models, including Generative AI use cases.
Contribute to automation scripts, data transformations, and workflow optimization.
Create or support dashboards and visualizations using Power BI/Tableau (preferred).
Collaborate with engineers to maintain high-quality data standards.
(Nice to Have) Support CI/CD pipelines for data and ML workflows.
Qualifications
Knowledge of Python, PySpark, or SQL.
Curiosity or experience in Generative AI (LLMs, embeddings, vector stores).
Awareness of Agentic AI concepts (AI agents, tool orchestration) is a plus.
Familiarity with BI/reporting tools such as Power BI or Tableau (preferred).
Bonus: Exposure to Darts, Stats Forecast, ML-Flow, GitHub, Azure DevOps, or CI/CD workflows.
(Nice to have) Basic understanding of Machine Learning concepts and frameworks like scikit‑learn, TensorFlow, or PyTorch.
Students currently pursuing or recently graduated with a degree in Computer Science, Data Science, Engineering, or related fields.
Robust analytical and problem‑solving skills.
Self‑starter with a passion for learning new technologies.
Positive communication, organization, and teamwork abilities.
Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the advantages of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistr
📌 Trainee Intern Gcc Bengaluru
🏢 waters
📍 Bengaluru