AI/ML Engineer - Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.
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 hiring an AI/ML Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to develop enterprise AI solutions using Vertex AI, BigQuery ML, Generative AI, and cloud-native machine learning technologies.
Key Responsibilities:
- Develop AI/ML applications using Vertex AI.
- Build ML pipelines using Vertex Pipelines.
- Train and deploy models using TensorFlow and PyTorch.
- Implement Generative AI and RAG solutions.
- Develop Big Query ML applications.
- Deploy scalable Kubernetes workloads.
- Build AI APIs using Fast API.
- Implement model monitoring and AI observability.
- Optimize cloud-native AI infrastructure.
- Support production AI applications.
Required Skills:
- Python
- SQL
- Google Cloud Platform
- Vertex AI
- Big Query
- Machine Learning
- TensorFlow
- PyTorch
- Generative AI
- LLMs
- RAG
- Docker
- Kubernetes
- Fast API
- Git
Mandatory Skills:
- Python
- Google Cloud Platform
- Vertex AI
- Machine Learning
- TensorFlow
- PyTorch
- Big Query
- Kubernetes
- Fast API
- Docker
- Generative AI
Best Regards:
Tina
Phone:
Email:
Skills
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