AWS AI Engineer / USC and GC Candidates can ONLY Apply
San JoseRemote (US)mid
Posted 11mo ago · via Recruitee
About this role
Job Title: AWS AI Engineer Location: REMOTE USA TOP SKILLS: Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config) Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain Experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud Fine-tuning large language models, building datasets and deploying ML models to production Git-based version control, code reviews, and DevOps workflows Nice To Have AWS or relevant cloud certifications Data privacy and compliance best practices (e.g., PII handling, secure model deployment) Data science background or experience working with struc…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: node.js, dynamodb, aws, s3, lambda…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
node.jsdynamodbawss3lambdaecssagemakerterraformserverlesspytorchtensorflowtransformerslangchainbedrock
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