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Job Summary (AI/ML Engineer – W2 Role- Remote)
- Serve as a Senior AI/ML Engineer focused on building and deploying AI/ML applications in AWS cloud environments.
- Design, implement, and maintain retrieval-augmented generation (RAG) systems and fine-tune large language models (LLMs) for enterprise use.
- Develop scalable, secure, cloud-native microservices, APIs, and serverless functions (using AWS Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3) for automation, insight, and governance.
- Architect and deliver AI/ML solutions that integrate with live infrastructure data, internal documentation, and system telemetry.
- Collaborate with internal stakeholders to gather requirements, understand business goals, and translate them into robust AI systems.
- Manage the full software development lifecycle including CI/CD pipelines, GitHub-based workflows, and infrastructure as code (Terraform).
- Support and enhance reusable platform components to enable AI/ML operations across the organization.
- Create and maintain technical documentation for internal team and stakeholder reference.
- Communicate effectively with team members and stakeholders, both verbally and in writing.
- Be a key member of a high-impact, cloud-native engineering team, driving innovation in AI/ML within a real-world enterprise setting.
Key Skills
Ranked by relevance
cloud
aws
infrastructure as code
microservices
serverless
dynamodb
cicd
ai
s3
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- Posted
- May 14, 2025
- Type
- Full-time
- Level
- Associate
- Location
- United States
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-27
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