Description

You will build and deploy end-to-end machine learning solutions to support data-driven decision making.

Responsibilities

• Develop and deploy end-to-end ML solutions from data collection to inference.
• Conduct data exploration, analysis, and provide ML consultancy.
• Model user behavior across the predictive stack.
• Maintain a culture of quality and experimentation within an Agile environment.

Required Skills

• 2+ years of relevant machine learning experience.
• 1+ years of software engineering experience.
• Expertise in SQL and ML pipelines.
• Strong knowledge of algorithms and statistical methods.
• Experience with data collection, feature engineering, training, and analysis.
• Strong mathematical skills.

Preferred Skills

• Familiarity with the Python ecosystem, Databricks, S3, and Spark.
• Exposure to offline and online ML workflows.
• Experience with graph-based data workflows like Apache Airflow or Meson.

Key Skills

Education

Any Graduate