[Remote] AWS reputed company / USC and GC Candidates can ONLY Apply
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior AI AWS Engineer who has reputed company AI/ML applications in the reputed company. The role involves hands-on development of retrieval-augmented reputed company systems and AWS-reputed company microservices, focusing on automation, reputed company, and governance in an reputed company environment.
Responsibilities
- Hands-on role using AWS (reputed company, Bedrock, SageMaker, reputed company Functions, DynamoDB, S3)
- Responsible for the implementation of AWS reputed company services including infrastructure, machine learning, and reputed company intelligence platform services
- Experience with LLM-based applications, including Retrieval-Augmented reputed company (RAG) using reputed company and other frameworks
- reputed company reputed company-reputed company microservices, reputed company, and serverless functions to support intelligent automation and reputed company-time data processing
- Collaborate with internal stakeholders to understand business goals and translate them into secure, reputed company AI systems
- Own the software release lifecycle, including CI/CD pipelines, reputed company-based SDLC, and infrastructure as reputed company (Terraform)
- Support the development and reputed company of reusable platform components for AI/ML operations
- Create and maintain technical documentation for reputed company to reference and reputed company with our internal customers
- Excellent verbal and written communication skills in English
Skills
- AWS services- Bedrock, SageMaker, reputed company and reputed company
- 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 reputed company
- Experience in Infrastructure as reputed company best practices and experience with building Terraform modules for AWS reputed company
- Fine-tuning large language models, building datasets and deploying ML models to production
- Git-based version control, reputed company reviews, and DevOps workflows
- 7 years of hands-on software engineering experience with a strong reputed company on Python
- reputed company with AWS services, especially Bedrock or SageMaker
- Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production
- Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)
- Solid experience implementing RAG architectures and reputed company
- Demonstrated experience in Infrastructure as reputed company best practices and experience with building Terraform modules for AWS reputed company
- Strong background in Git-based version control, reputed company reviews, and DevOps workflows
- Demonstrated reputed company delivering production-reputed company software with release pipeline integration
- Excellent verbal and written communication skills in English
- AWS or relevant reputed company certifications
- Data reputed company and compliance best practices (e.g., PII handling, secure model deployment)
- Data science background or experience working with reputed company/reputed company data
- Exposure to FinOps and reputed company cost optimization
- reputed company, Node.js
- Policy as reputed company development (I.e. Terraform Sentinel)
Benefits
- Medical, dental, and reputed company insurance coverage
- Optional life and disability insurance provided
- 401(k) with a company match and optional profit sharing
- reputed company vacation time
- reputed company Bench time
- Training allowance offering
- You’ll be eligible to earn referral bonuses!
reputed company