Description

You will design and architect large-scale ML infrastructure and data systems on AWS.

This role is on-site.

Responsibilities

• Build automated CI/CD pipelines for deploying ML models to production.
• Construct data pipelines for collecting, training, and evaluating models using distributed processing frameworks.
• Manage cloud applications using Infrastructure as Code (IaC) principles.
• Implement feature engineering and machine learning algorithms, including NLP word embeddings.

Required Skills

• 5+ years of experience in system design and architecture.
• Proficiency in Python ML ecosystems: NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with AWS services: EC2, EMR, EKS, S3, and SageMaker.
• Experience with distributed data processing using Apache Spark or Snowflake.
• Strong knowledge of Docker, Kubernetes, and AWS CloudFormation.
• Ability to use CI/CD tools like Jenkins, GitHub, and Artifactory.
• Experience with Object Oriented Programming and functional scripting in Node.js or Unix.

Preferred Skills

• Bachelor’s or Master’s Degree in Engineering, Computer Science, or a related technology field.

Key Skills

Education

Any Graduate