Description

You will own the end-to-end data science project lifecycle within Azure environments.

Responsibilities

• Productionise machine learning, deep learning, and natural language processing models.
• Implement MLOps and DevOps workflows to support model lifecycles.
• Apply ML engineering methodologies and best practices to model deployment.
• Deliver data science solutions using Agile methodologies.

Required Skills

• 5+ years of experience working across the Data Science Project Lifecycle.
• Proficiency in Python and SQL.
• Hands-on experience with Azure cloud services.
• Experience using Databricks.
• Practical knowledge of MLOps and DevOps principles.
• Experience deploying Deep Learning and NLP models into production.
• Working knowledge of cloud-based and local data science frameworks and toolkits.

Key Skills

Education

Any Graduate