Data Scientist (Architect)

Colombo - Sri Lanka

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

Lead the design development and deployment of AI/ML models for complex business use cases.
Architect solutions involving unstructured data including text images logs and documents.
Build large-scale data pipelines using Python PySpark or Scala.
Drive machine learning lifecycle processes: data preparation feature engineering model selection training validation and monitoring.
Create BI dashboards and data visualizations to communicate insights to leadership and stakeholders.
Work closely with engineering teams to operationalize models in production environments.
Provide technical leadership and mentorship to data science teams.
Ensure solutions are scalable secure and aligned with enterprise data architecture standards.
Explore new techniques tools and frameworks to enhance analytics capabilities

Requirements

Minimum 10 years of total IT experience.
Minimum 5 years of hands-on expertise in the following (must-have): AI/ML algorithm development Unstructured data processing Python with PySpark or Scala Machine Learning engineering BI Reporting / Dashboard Development
Strong background in data modeling statistical analysis and MLOps concepts.
Experience architecting end-to-end data science solutions at enterprise scale.

Nice-to-Have Skills

Experience with Azure cloud services (Azure ML Data Factory Databricks Synapse etc.).
Knowledge of big data platforms and distributed computing.
Understanding of NLP deep learning or advanced analytics techniques.
Exposure to CI/CD model versioning and automated ML pipelines

Required Skills:

Minimum 10 years of total IT experience. Minimum 5 years of hands-on expertise in the following (must-have): AI/ML algorithm development Unstructured data processing Python with PySpark or Scala Machine Learning engineering BI Reporting / Dashboard Development Strong background in data modeling statistical analysis and MLOps concepts. Experience architecting end-to-end data science solutions at enterprise scale.

Lead the design development and deployment of AI/ML models for complex business use cases.Architect solutions involving unstructured data including text images logs and documents.Build large-scale data pipelines using Python PySpark or Scala.Drive machine learning lifecycle processes: data preparati...