Description

You design and implement machine learning models and data pipelines on Google Cloud Platform. You manage the full machine learning lifecycle using MLOps practices.

This role is on-site.

Responsibilities

• Develop supervised learning models for regression and classification tasks.
• Apply unsupervised techniques including cluster analysis, text mining, topic modeling, and sentiment analysis.
• Build and maintain scalable data pipelines using PySpark and SQL.
• Create data visualizations using Matplotlib, Seaborn, or Plotly to communicate insights.
• Manage machine learning lifecycles using MLOps practices on GCP.

Required Skills

• 10+ years of professional experience.
• Advanced proficiency in Python.
• Strong expertise in SQL and Database Design.
• Experience with PySpark for large-scale data processing.
• Hands-on experience with GCP (Google Cloud Platform).
• Practical knowledge of MLOps workflows.
• Experience implementing machine learning algorithms and clustering.
• Ability to perform text mining and sentiment analysis.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate