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Job Description
Structured overview of role & requirementsAbout This Role
Analyze structured and unstructured data to identify trends, perform EDA, feature engineering, and provide actionable business insights.
Build, evaluate, optimize, and assist deployment of machine learning models and AI solutions, including experimenting with Generative AI and LLM use cases.
Develop dashboards and visualizations for KPI tracking and collaborate with cross-functional teams to support data-driven decision-making and process optimization.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field.
At least 1 year of experience in Data Science, Analytics, or Machine Learning roles.
Proficiency in Python programming and SQL for data extraction and analysis.
Experience with exploratory data analysis, feature engineering, and data visualization tools such as Power BI or Tableau.
Ideal Candidate Profile
Experience or exposure to machine learning libraries like Scikit-learn, Pandas, NumPy, and XGBoost, and knowledge of modern data platforms (Databricks, Snowflake).
Familiarity with cloud platforms (Azure, AWS, or GCP), CI/CD, MLOps, and AI model deployment concepts.
Demonstrated understanding or exposure to Generative AI, LLMs, Prompt Engineering, and Retrieval-Augmented Generation (RAG) frameworks.