Bachelor’s degree in business administration, Information
Technology, Healthcare
Bachelor’s or Master’s degree in Computer Science, Data
Science, AI/ML, or related field.
5 to 6 years of experience in AI/ML with at least 3+ years
focused on AWS-based solutions.
Strong experience with Amazon SageMaker (training,
tuning, hosting, monitoring).
Proficiency in Python and ML libraries (scikit-learn,
TensorFlow, PyTorch).
Hands-on experience with data engineering on AWS
(Glue, Redshift, Athena, EMR).
Deep understanding of AI/ML algorithms and model
deployment strategies.
Familiarity with CI/CD pipelines and infrastructure as
code (CloudFormation, Terraform).
AWS Certified Machine Learning – Specialty or Solutions
Architect certification is a plus.