Description

You will design, develop, and deploy machine learning models to support business and product strategies.

This role is hybrid.

Responsibilities

• Build and maintain Jupyter Notebooks for data exploration, modeling, and documentation.
• Implement QA methodologies and data validation to ensure the accuracy of data pipelines and models.
• Manage the model lifecycle and deployment using Azure Machine Learning and MLOps tools.
• Develop dashboards and visualizations to communicate insights effectively.
• Participate in code reviews and mentor junior team members on best practices and documentation.

Required Skills

• 5+ years of experience in data science or quality assurance.
• Proficiency in Python, including Pandas, NumPy, and Matplotlib.
• Experience with Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service.
• Hands-on experience with Databricks and dimensional data modeling.
• Programming proficiency in C# and JavaScript.
• Strong background in machine learning algorithms and model evaluation.
• Experience with data cleaning, transformation, and feature engineering on large datasets.
• Ability to use VSCode and Jupyter Notebooks for development.

Preferred Skills

• Experience with Power BI or Tableau for data visualization.

Key Skills

Education

Any Graduate