DATA SCIENTIST – AI/ML

Summary
We are seeking an experienced Data Scientist specializing in Artificial Intelligence and Machine Learning to drive innovation within our IT Services sector. In this pivotal role, the successful candidate will leverage advanced analytics and predictive modeling to solve complex business challenges. The position demands a deep understanding of modern data ecosystems and the ability to translate raw data into actionable strategic insights that enhance operational efficiency and customer value.

Responsibilities

• Design, develop, and deploy scalable machine learning models and AI solutions utilizing Google Cloud Platform (GCP) infrastructure.
  
• Conduct comprehensive data analysis and exploratory research to identify patterns, trends, and opportunities for algorithmic improvement.
  
• Collaborate with cross-functional teams to define project scope, objectives, and deliverables for AI-driven initiatives.
  
• Write efficient, maintainable, and optimized code in Python to implement data pipelines and machine learning workflows.
  
• Perform complex data extraction, transformation, and loading (ETL) processes using SQL to ensure data integrity and accessibility.
  
• Monitor model performance in production environments and iterate on algorithms to maximize accuracy and reliability.
  
• Document technical processes, methodologies, and findings to facilitate knowledge sharing and future development.
  

Requirements

Requirements:

• Possess a minimum of 6 to 9 years of professional experience in data science, machine learning, or a related technical field.
  
• Demonstrate expert-level proficiency in Python programming for data analysis and model development.
  
• Show proven hands-on experience with Artificial Intelligence and Machine Learning concepts, algorithms, and frameworks.
  
• Have extensive practical knowledge of Google Cloud Platform (GCP) services and tools for cloud-based data engineering and AI deployment.
  
• Exhibit strong command of SQL for querying databases and managing large-scale datasets.
  
• Hold a relevant degree in Computer Science, Statistics, Mathematics, or a comparable discipline.
  
• Ability to work independently and communicate complex technical concepts to non-technical stakeholders effectively.