Description

You will operate at the intersection of data science and operations to build and deploy ML solutions.

Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Collaborate with stakeholders to define business problems and translate them into data science solutions.
• Communicate findings through visualizations, dashboards, and presentations.
• Stay up to date with the latest data science techniques and tools.

Required Skills

• 10+ years of professional experience in data science or ML.
• Experience with cloud platforms (AWS, Azure).
• Familiarity with big data technologies (Spark, Hadoop).
• Knowledge of MLOps and model deployment best practices.
• Strong understanding of statistical methods and data modeling.
• Proficiency in Data Modeling.
• Experience with AWS and Azure environments.

Key Skills

Education

Any Graduate