Jr. Data Scientist

Education

Bachelor's degree holder of any quantitative discipline such as Data Science, Statistics, Computer Science, or related quantitative field

Qualifications

. 2-4+ years experience with the full ML/AI lifecycle from data preparation to deployment and monitoring

. Strong proficiency in Python, SQL, and experience with AWS/Databricks environments

. Good communication skills to explain complex ML/AI concepts to diverse stakeholders

. Exposure to Generative AI or LLMs, with understanding of responsible AI practices (bias, fairness, data privacy)

. Hands-on experience with LLMOps, RAG, or Agentic AI

. Version Control (git) and experience with CI/CD pipelines for ML model deployment

Duties and Responsibilities

. Collaborate with data science and engineering teams to develop, optimize, and deploy machine learning models in on premises and cloud environments.

. Oversee the ML model lifecycle from data preparation and feature engineering to deployment and monitoring. . Prepare, clean, and transform data to be used for training and inference.

. Ensure the scalability, reliability, and performance of machine learning models.

. Monitor and maintain deployed models, implement updates, and troubleshoot any issues that may arise.

. Assist in designing and maintaining machine learning pipelines, ensuring efficient data flow and model deployment.

. Translate analytical findings into clear recommendations for stakeholders.

. Ensure responsible AI practices are followed, addressing bias, fairness, and ethical considerations in line with Data Privacy, Cybersecurity, and AI policies.