Description

You will design, develop, and deploy AI/ML solutions on AWS cloud infrastructure, managing end-to-end workflows from data preparation to model deployment.

This role is remote.

Responsibilities

• Build and manage Dataiku workflows for data preparation, model training, and deployment.
• Develop and deploy AI/ML solutions using AWS services including S3, EC2, Lambda, SageMaker, Glue, Redshift, and IAM.
• Implement CI/CD pipelines for ML models and data workflows.
• Optimize cloud resources for performance, cost, and scalability.
• Collaborate with data scientists and stakeholders to translate requirements into scalable cloud solutions.

Required Skills

• 8+ years of experience in AI/ML engineering or cloud architecture.
• Strong hands-on experience with AWS services: S3, EC2, Lambda, SageMaker, Glue, Redshift, IAM.
• Proficiency in Dataiku for end-to-end data science workflows.
• Solid programming skills in Python and SQL.
• Experience with MLOps practices.
• Familiarity with Docker.

Preferred Skills

• AWS Certified Solutions Architect or Machine Learning Specialty.
• Experience integrating Dataiku with external APIs and cloud services.

Key Skills

Education

Any Graduate