Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Machine Learning (ML)
ML algorithms
large language models (LLMs)
generative AI
AWS Bedrock
SageMaker
Job Details
Job Title: AI/ML Engineer
Location: Remote
Hire Type: Contract
Duration: 6- 12 months
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Job Description
Experience Required:
- 7+ years of hands-on Machine Learning (ML) engineering experience.
- Deep understanding of ML algorithms supervised, unsupervised, and reinforcement learning.
- Strong knowledge of statistical modeling and experimental design.
- Proven experience with large language models (LLMs) and generative AI.
- Experience working with AI agents and related technologies.
Certifications (Preferred):
- AWS Certified Machine Learning Specialty (highly preferred)
- AWS Certified Solutions Architect Associate or Professional
Tools & Platforms:
- AWS Bedrock
- SageMaker
Responsibilities:
- Participate in Discovery sessions and help implement GenAI and agentic AI capabilities.
- Support agent creation, deployment, and evaluation workflows.
- Work on integration with MCP, agent gateway, RAG (Retrieval-Augmented Generation), observability, and content sphere components.
- Conduct evaluations, documentations, and knowledge transfer (KT) sessions.
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