Responsibilities of the Candidate:
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.
Requirements:
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.
Solid analytical and problem‑solving skills.
Self‑starter with a passion for learning current technologies.
Positive communication, organization, and teamwork abilities.
📌 Trainee Internship Bengaluru (India)
🏢 Recognized
📍 India
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