AI Data and MLOps Engineer (AWS Cloud)

Position Summary

We are seeking an experienced AI Data and MLOps Engineer with a minimum of 5 years of relevant experience. The ideal candidate will be responsible for designing, developing, and maintaining AI/ML pipelines and ensuring seamless deployment on AWS Cloud. You will work closely with data scientists, software engineers, and other stakeholders to operationalize machine learning models and manage scalable cloud-based solutions.

Key Responsibilities:

• Design, implement, and optimize AI/ML pipelines for data ingestion, preprocessing, training, and inference.
• Develop and deploy machine learning models using AWS services such as SageMaker, S3, Glue, Step Functions, and Redshift.
• Collaborate with data science teams to integrate frameworks like PyTorch, TensorFlow, or Hugging Face Transformers into production workflows.
• Implement and manage CI/CD pipelines to automate the build, test, and deployment processes for AI/ML applications.
• Develop containerized solutions using Docker and manage orchestration through Kubernetes.
• Define and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
• Monitor, troubleshoot, and optimize deployed models and workflows for performance, scalability, and cost efficiency.
• Ensure best practices in security, compliance, and data governance in all cloud-based operations.
• Stay up-to-date with the latest trends and advancements in AI/ML and cloud technologies.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of hands-on experience in AI/ML and MLOps engineering.
• Programming Expertise: Proficiency in Python (preferred) or another programming language.
• Frameworks: Experience with at least one of PyTorch, TensorFlow, or Hugging Face Transformers.
• AWS Cloud Expertise: Deep understanding of SageMaker, S3, Glue, Step Functions, and Redshift.
• Containerization & Orchestration: Strong familiarity with Docker and Kubernetes.
• IaC Tools: Expertise in Terraform or AWS Cloud Formation.
• Proven experience in creating and managing CI/CD pipelines.
• Strong problem-solving and analytical skills with the ability to work in a collaborative team environment.