Principal Duties and Responsibilities:

• Develop and Deploy Predictive Models:
  -Build, tune, and maintain machine learning models in data bricks using python, r, or java. 
  -Design and implement ML solutions tailored to specific use cases and data characteristics. 
• Data Modelling and Analysis:
  -Review and revise data models fed from upstream sources such as PostgreSQL, MongoDB, and Kafka. 
  -Identify and correct for data quality issues in data large datasets. 
  -Analyse results to ensure findings are statically significant. 
• ML Model Optimization and Maintenance: 
  -Continuously improve model performance and accuracy.
  -Monitor and maintain deployed models to ensure effectiveness and relevance. 

Qualifications, Skills, Experience and Personal Requirements:

• Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field. 
• Proven hands-on experience in creating, tuning, and maintaining machine learning models in enterprise environments. (Required)
• Proficiency in Python and R, with experience using Databricks for model development.
• Deep understanding of various machine learning modelling methods and their applications.
• Experience with data modelling techniques and tools.
• Experience with MongoDB, Snowflake, Postgres, AWS Cloud, and PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.