Why This Role Stands Out
Advance your career as an AI/ML Engineer by developing cutting-edge enterprise AI solutions on Google Cloud Platform, with opportunities for significant skill development in Generative AI and Vertex AI. This hybrid role is perfect for mid-senior level professionals passionate about building innovative machine learning applications and contributing to a reputable tech company. Apply today to shape the future of AI!
Quick Overview
Job Description
Job Title: AI/ML Engineer
Location: Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX
Contract: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
We are seeking a Principal AI/ML Engineer to architect enterprise AI platforms supporting predictive analytics, Generative AI, Agentic AI, and advanced Machine Learning solutions. The ideal candidate should possess strong architecture, leadership, and cloud AI expertise.
Key Responsibilities
· Design enterprise AI architectures.
· Lead AI platform modernization initiatives.
· Develop predictive analytics solutions.
· Build LLM-powered enterprise applications.
· Develop Agentic AI workflows.
· Implement MLOps and LLMOps.
· Design vector search and semantic retrieval solutions.
· Deploy AI applications on Azure AI Foundry or Amazon Bedrock.
· Mentor engineering teams.
· Establish AI governance standards.
Required Skills
· Python
· Machine Learning
· Deep Learning
· Generative AI
· LLMs
· Agentic AI
· RAG
· Prompt Engineering
· LangChain
· Vector Databases
· Azure AI Foundry
· Amazon Bedrock
· MLflow
· Kubernetes
· Docker
Mandatory Skills
· Python
· Machine Learning
· Generative AI
· Agentic AI
· Azure AI Foundry
· Amazon Bedrock
· LangChain
· MLflow
· Kubernetes
· Vector Databases
· Prompt Engineering
Best Regards:
Tina
Phone:
Email:
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