Posted:9 hours ago|
Platform:
On-site
Full Time
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
Tata Consultancy Services
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