AI/ML Engineer: Build Intelligent Models & Solutions

Quantum Technologies. LLC

Austin (TX)

On-site

USD 120,000 - 180,000

Full time

6 hours ago
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Job summary

Quantum Technologies. LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications solving complex business problems. You will build ML models, preprocess data, and apply NLP and generative AI to real-world challenges.

You will collaborate with data engineers and software developers to create scalable AI solutions, monitor model performance, and document architectures and results for production use.

Qualifications

  • Experience designing ML models and AI-based solutions.
  • Data collection, cleaning, preprocessing of structured/unstructured data.
  • Experience with NLP and generative AI techniques.
  • Ability to deploy models in production and monitor performance.

Responsibilities

  • Design, develop, and implement ML models and AI-based solutions.
  • Collect, clean, preprocess, and analyze structured and unstructured data.
  • Build predictive models using supervised and unsupervised learning.
  • Develop and optimize ML algorithms for business applications.
  • Work with NLP, deep learning, and generative AI technologies.
  • Integrate ML models into existing enterprise applications.
  • Collaborate with data engineers and software developers to build scalable AI solutions.
  • Monitor model performance and implement continuous improvements.
  • Develop automated ML pipelines and workflows.
  • Document model architecture, development processes, and results.

Skills

Python
SQL
Machine Learning
TensorFlow
PyTorch
Scikit-learn
NLP
Generative AI
LLMs
Prompt Engineering
Data Processing
MLOps
Model Deployment
Statistical Analysis
Predictive Modeling

Education

Bachelor's or master's in CS/Math/Engineering

Job description

Quantum Technologies. LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications solving complex business problems. You will build ML models, preprocess data, and apply NLP and generative AI to real-world challenges.

You will collaborate with data engineers and software developers to create scalable AI solutions, monitor model performance, and document architectures and results for production use.

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