AI/ML Engineer: Build Scalable Intelligent Solutions

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications solving complex business problems in Austin, TX. You will build ML models, preprocess data, and collaborate with data engineers and software developers to scale AI solutions.

You will work with NLP, deep learning, and generative AI technologies, monitor model performance, and develop automated pipelines to continuously improve outcomes.

Qualifications

• Proficient in Python and SQL for building ML models.
• Experience designing, evaluating, and deploying ML models at scale.
• Strong foundations in NLP, generative AI, and prompt engineering.

Responsibilities

• Design, develop, and implement ML models and AI-based solutions.
• Collect, 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

NLP

Generative AI

LLMs

Prompt Engineering

Data Processing

Feature Engineering

Model Deployment

MLOps

Statistical Analysis

Predictive Modeling

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Machine Learning Technologies, LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications solving complex business problems in Austin, TX. You will build ML models, preprocess data, and collaborate with data engineers and software developers to scale AI solutions.

You will work with NLP, deep learning, and generative AI technologies, monitor model performance, and develop automated pipelines to continuously improve outcomes.