Analyst | AI / ML | Chennai | Artificial Intelligence & Data | AI Insights & Engagement
Deloitte (company site, opens in a new tab)ChennaiOn-siteDirect career pageEst. 6–12 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement machine learning models such as classification, regression, anomaly detection, and predictive modeling using tools like Scikit-learn and XGBoost.
- Apply AI techniques including NLP, text embeddings, semantic similarity, large language models (LLMs), and explainable AI methods (e.g., SHAP) for AI insights.
- Build and maintain data engineering pipelines, ensure data validation using platforms/tools like Snowflake, PySpark, AWS, and create visualizations and dashboards using Tableau or Power BI to support data storytelling.
Minimum Requirements
- Proficiency with machine learning frameworks such as Scikit-learn, XGBoost, and experience in classification, regression, and anomaly detection.
- Experience with AI & NLP techniques including text embeddings, semantic similarity, and explainable AI (SHAP).
- Familiarity with data analysis tools (Pandas, NumPy, Excel) and statistical methods including hypothesis testing and A/B testing.
- Educational qualifications required: B. Tech / M. Tech; B.E / M.E; B.Sc. / M.Sc.; B. Com / M.com; MBA/PGDM; BCA/MCA; or PhD.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Candidate comfortable working end-to-end on AI/ML projects combining machine learning modeling, NLP application, and data engineering.
- Experience with cloud platforms (AWS), data engineering (ETL pipelines, data validation), and version control (Git/GitHub) indicating operational familiarity with deployment and collaboration.
- Skillful in data visualization and storytelling using Tableau or Power BI to translate complex data insights for stakeholders.