Description

You will develop and implement advanced algorithms and solutions using machine learning and statistical modeling.

Responsibilities

• Manage end-to-end data science projects, ensuring alignment with business objectives and delivering actionable insights.
• Contribute to the strategic vision of the Data Science MLOps team, advising on business-aligned initiatives.
• Apply problem-solving skills to address complex data demands and generate valuable insights.
• Develop and implement machine learning statistical models.

Required Skills

• 4+ years of experience in data science ML model development guiding complex projects.
• 4+ years of working experience with Azure Databricks or AWS Databricks for end-to-end model development.
• Expertise in Machine Learning and Deep Learning.
• Proficiency in Python, PySpark, and SQL.
• Experience with MLOps frameworks and GitHub Actions CI/CD pipelines.
• Expertise in at least two areas of AIML (e.g., Machine Learning, NLP).
• Strong command of machine learning statistical modeling and data thoughtfulness.
• Bachelor’s or Advanced degree in Computer Science, Statistics, Mathematics, or related field.

Key Skills

Education

Any Graduate