Posted:Just now|
Platform:
Hybrid
Full Time
Develop ML models for structured data analysis.
Implement data preprocessing pipelines using Python (Pandas, NumPy).
Optimize feature engineering for structured datasets.
Work with SQL databases and data warehouses (Snowflake, BigQuery).
Train and evaluate models using Scikit-learn, TensorFlow, or PyTorch.
Deploy ML models using MLOps frameworks (MLflow, Kubeflow).
Collaborate with data engineers and analysts to ensure data quality.
Perform hyperparameter tuning and model optimization.
Ensure data security, governance, and compliance
Python programming for ML and data manipulation.
SQL proficiency for structured data querying.
Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
Knowledge of ETL processes for structured data.
Understanding of data warehousing concepts.
Familiarity with cloud platforms (AWS, Azure, GCP)
Experience with data visualization tools (Tableau, Power BI).
Knowledge of data governance frameworks (GDPR, HIPAA).
Familiarity with automated ML workflows.
Interested & Eligible can share your updated resume and below details to bharath.valaja@citiustech.com
Official Notice Period?:
Availability for a virtual interview on Saturday, 04Oct25?:
Citiustech
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