10 years of experience in AI/ML data engineering or cloud architecture
Strong hands-on experience with AWS AI/ML services including:
SageMaker Bedrock Glue Redshift Kinesis Lambda Lake Formation
Proficiency in:
Python SQL and ML frameworks (TensorFlow PyTorch Scikit-learn)
Experience with Infrastructure as Code tools:
AWS CDK Terraform CloudFormation
Deep understanding of:
ML algorithms LLMs embeddings vector search model optimization
Proven experience building production-grade MLOps pipelines
Code Review & Engineering Leadership
Demonstrated ability to review refactor and improve developer code
Strong knowledge of:
Software engineering principles design patterns and testing practices
Experience mentoring teams and enforcing coding standards
Leadership & Advisory Skills
Excellent communication skills with the ability to engage technical and executive stakeholders
Experience in:
Consulting customer advisory or enterprise architecture roles
Ability to translate technical concepts into business value
Design and build robust scalable and secure AI solutions on AWS
Develop AI systems aligned with AWS best practices and architecture standards
Lead hands-on engineering activities including solution design and implementation
Review and improve code quality system design and engineering practices
Mentor teams and guide them on AI/ML and cloud engineering best practices
Support customers in their AI transformation journey
Provide technical oversight and leadership across AI initiatives
Ensure AI solutions meet performance scalability and compliance requirements
10 years of experience in AI/ML data engineering or cloud architecture Strong hands-on experience with AWS AI/ML services including: SageMaker Bedrock Glue Redshift Kinesis Lambda Lake Formation Proficiency in: Python SQL and ML frameworks (TensorFlow PyTorch Scikit-learn) Experience w...
10 years of experience in AI/ML data engineering or cloud architecture
Strong hands-on experience with AWS AI/ML services including:
SageMaker Bedrock Glue Redshift Kinesis Lambda Lake Formation
Proficiency in:
Python SQL and ML frameworks (TensorFlow PyTorch Scikit-learn)
Experience with Infrastructure as Code tools:
AWS CDK Terraform CloudFormation
Deep understanding of:
ML algorithms LLMs embeddings vector search model optimization
Proven experience building production-grade MLOps pipelines
Code Review & Engineering Leadership
Demonstrated ability to review refactor and improve developer code
Strong knowledge of:
Software engineering principles design patterns and testing practices
Experience mentoring teams and enforcing coding standards
Leadership & Advisory Skills
Excellent communication skills with the ability to engage technical and executive stakeholders
Experience in:
Consulting customer advisory or enterprise architecture roles
Ability to translate technical concepts into business value
Design and build robust scalable and secure AI solutions on AWS
Develop AI systems aligned with AWS best practices and architecture standards
Lead hands-on engineering activities including solution design and implementation
Review and improve code quality system design and engineering practices
Mentor teams and guide them on AI/ML and cloud engineering best practices
Support customers in their AI transformation journey
Provide technical oversight and leadership across AI initiatives
Ensure AI solutions meet performance scalability and compliance requirements
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