Drive Machine Learning Innovations as an Intermediate Engineer

Become a pivotal force in our AI/ML Operations as an Intermediate Machine Learning Engineer. Build and optimize cloud-based ML pipelines to transform data into insights that matter.

In this role, you will engage directly with ML engineers and data scientists, creating effective machine learning solutions. Your expertise in Python and tools like Snowflake will facilitate the deployment and monitoring of operational models, ensuring high performance and compliance with regulatory standards.

Key Responsibilities:

• Assist in designing and implementing ML services and pipelines
• Collaborate with cross-functional stakeholders on requirements
• Monitor and optimize ML model performance
• Apply MLOps practices for efficient operations
• Develop and maintain on-premise ML workflows

Requirements:

• Bachelor’s degree in relevant technical field
• 2–4 years of experience in ML engineering
• Proficiency in Python and data processing libraries
• Experience with AWS and/or Snowflake services
• Basic knowledge of Docker and Jenkins for containerization

Shape the future of AI while building your career within an inclusive and forward-looking environment.

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