Data Science

Skills:

Key Responsibilities

• Design and implement ML models and data pipelines using GCP tools such as Vertex AI, BigQuery, and Dataflow.
• Perform data wrangling, feature engineering, statistical analysis, and model tuning.
• Work closely with stakeholders to define business problems and translate them into analytical solutions.
• Deploy models in production, monitor performance, and drive continuous improvement.
• Ensure data governance, model explainability, and compliance standards are met.
  

Technical Skills Required

• Strong experience with GCP services including Vertex AI, BigQuery, Dataflow, and Cloud Storage.
• Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience with large datasets, data preprocessing, and visualization tools.
• Knowledge of MLOps practices, CI/CD, and version control tools (Git, Jenkins).
• Solid understanding of statistics, machine learning algorithms, and performance metrics.
• Bachelor's degree (B.Tech/B.E.) in Computer Science, Data Science, or related field is mandatory