Client-Facing AI/ML Engineer — AWS, SageMaker & Bedrock

Lean Solutions Group; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Lean Solutions Group seeks a Client Technical Engineer to bridge cognitive computing and client objectives within the AWS ecosystem. You will lead discovery, design production-grade AI solutions, and drive deployment with a focus on security, performance, and cost efficiency.

Ideal candidates bring 2–3 years of AWS ML experience, strong Python, and hands-on AI/ML deployment skills, with clear client-facing communication to tie technology to business outcomes.

Qualifications

• 2 to 3 years hands-on experience in cognitive engineering, ML, or AI solution deployment in AWS.
• Deep practical knowledge of AWS ML stack (SageMaker, Bedrock, core AI services).
• Proficiency in Python and data science libraries.

Responsibilities

• Lead client engagements, map business requirements to AWS AI/ML services.
• Design scalable cognitive architectures aligned with security and cost efficiency.
• Deliver POCs and architectural roadmaps to technical and executive stakeholders.
• Manage client expectations and align deliverables with business outcomes.

Skills

Python programming

AI/ML fundamentals

NLP pipelines

Data analysis

Tools

SageMaker

Bedrock

TensorFlow

PyTorch

Pandas

Scikit-learn

Terraform

Job description

Lean Solutions Group seeks a Client Technical Engineer to bridge cognitive computing and client objectives within the AWS ecosystem. You will lead discovery, design production-grade AI solutions, and drive deployment with a focus on security, performance, and cost efficiency.

Ideal candidates bring 2–3 years of AWS ML experience, strong Python, and hands-on AI/ML deployment skills, with clear client-facing communication to tie technology to business outcomes.