Client-Facing AI/ML Solutions Engineer — AWS Expert

Lean Solutions Group; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Lean Solutions Group is seeking a Client Technical Engineer to bridge cognitive computing and client objectives within the AWS ecosystem. You will translate business needs into scalable AI architectures, lead discovery, and deploy cognitive solutions with strong Python expertise and executive-level communication.

You will design secure API integrations, drive MLOps with CI/CD, and optimize deployments across SageMaker, Bedrock, and other AWS AI services for enterprise clients.

Qualifications

• 2 to 3 years of hands-on experience in cognitive engineering, machine learning, or AI solution deployment in AWS.
• Deep practical knowledge of the AWS ML stack including SageMaker and Bedrock.
• Proficient Python and common data science libraries (TensorFlow, PyTorch, Pandas, Scikit-learn).
• Experience with Generative AI, NLP pipelines, and computer vision technologies.
• Infrastructure as Code and secure enterprise API integrations.

Responsibilities

• Lead client engagements, map business requirements to AWS AI/ML services.
• Design scalable cognitive architectures tailored to client infra with security and cost focus.
• Present proofs-of-concept and architectural roadmaps to stakeholders.
• Build, train, tune, and deploy ML models using SageMaker; deploy AI services via Bedrock.
• Establish CI/CD pipelines and optimize API calls to reduce AWS costs.

Skills

Python

AWS SageMaker

AWS Bedrock

NLP pipelines

Computer vision

LLMs

API integration

CI/CD

Consultative leadership

Tools

AWS CloudFormation

Terraform

Job description

Lean Solutions Group is seeking a Client Technical Engineer to bridge cognitive computing and client objectives within the AWS ecosystem. You will translate business needs into scalable AI architectures, lead discovery, and deploy cognitive solutions with strong Python expertise and executive-level communication.

You will design secure API integrations, drive MLOps with CI/CD, and optimize deployments across SageMaker, Bedrock, and other AWS AI services for enterprise clients.