Live opening · Posted 3 days ago

AI/ML Engineer – Generative AI, Agentic AI & MLOps

ScolerTec Inc · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyScolerTec Inc
LocationUnited States (Remote)
Work modeYes
SkillsPython, AWS, Azure, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

**FULLY REMOTE**
ScolerTec is seeking multiple AI/ML Engineers to design, develop, deploy, and govern production AI/ML solutions, including Generative AI, Agentic AI, LLM applications, RAG pipelines, predictive models, forecasting, and advanced analytics.
Key Responsibilities
Design and deploy ML, GenAI, Agentic AI, predictive, and forecasting solutions.
Develop LLM applications, RAG pipelines, and AI agents.
Evaluate foundation and open-source/commercial models.
Build MLOps/LLMOps pipelines.
Automate training, testing, deployment, monitoring, rollback, and retraining.
Monitor model drift and degradation.
Implement Responsible AI, explainability, bias testing, privacy, and security.
Address hallucination, prompt injection, data leakage, and model-risk issues.
Maintain model cards and AI governance artifacts.
Recommend AI tooling and reusable architectures.
Qualifications
10+ years specialized experience at the required expert level.
Machine learning/deep learning/NLP.
Python, SQL.
TensorFlow, PyTorch, scikit-learn or XGBoost.
SageMaker, Bedrock, Azure ML, or Vertex AI.
MLOps/LLMOps.
RAG, vector databases, prompt engineering, Agentic AI.
Responsible AI/governance.
AWS ML Specialty or Google Professional ML Engineer

Work arrangement
Yes

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