Description

Design and implement machine learning architectures and data solutions within cloud environments.

Responsibilities

• Design ML architectures and engineer scalable data solutions.
• Simplify complex technical solutions for efficiency and scalability.
• Implement distributed computing patterns and data space strategies.
• Integrate machine learning models into production via DevOps practices.

Required Skills

• 5+ years of experience in machine learning architecture or engineering.
• Proficiency in Python and SQL.
• Experience with big data systems including Spark and Hadoop.
• Knowledge of distributed computing and the data space.
• Experience with DevOps and system integration.
• Familiarity with orchestration frameworks.
• Working knowledge of deep learning frameworks such as TensorFlow or PyTorch.
• Understanding of next-gen architectural concepts.

Preferred Skills

• Experience with Azure Cloud environments.

Key Skills

Education

Any Graduate