Description

You will own end-to-end data science projects, delivering actionable insights and advancing the MLOps strategic vision.

This role is hybrid.

Responsibilities

• Develop and implement advanced machine learning and statistical models.
• Manage project lifecycles from conception to deployment, ensuring business alignment.
• Apply problem-solving techniques to address complex data demands.
• Advise on business-aligned initiatives for the Data Science MLOps team.

Required Skills

• 4+ years of experience in data science and ML model development.
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with Azure Databricks or AWS Databricks for end-to-end model development.
• Expertise in Machine Learning and Deep Learning.
• Experience with MLOps frameworks and GitHub Actions CI/CD pipelines.
• Strong command of machine learning statistical modeling.
• Bachelor’s or Advanced degree in Computer Science, Statistics, Mathematics, or related field.

Preferred Skills

• Expertise in at least two areas of AIML (e.g., Machine Learning, NLP).

Key Skills

Education

Any Graduate