AI/ML Engineer

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

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

We are looking for an experienced AI/ML Engineer with strong expertise in machine learning, artificial intelligence, model development, and data-driven solutions. The candidate will be responsible for designing, developing, and deploying intelligent applications to solve complex business problems.

Key Responsibilities:

• Design, develop, and implement machine learning models and AI-based solutions.
• Collect, clean, preprocess, and analyze structured and unstructured datasets.
• Build predictive models using supervised and unsupervised learning techniques.
• Develop and optimize machine learning algorithms for business applications.
• Work with NLP, deep learning, and generative AI technologies.
• Integrate AI/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 machine learning pipelines and workflows.
• Document model architecture, development processes, and implementation results.

Required Skills:

• Python, SQL, and Machine Learning.
• TensorFlow, PyTorch, and Scikit-learn.
• Natural Language Processing (NLP).
• Generative AI, LLMs, and Prompt Engineering.
• Data Processing and Feature Engineering.
• Model Deployment and MLOps.

• Statistical Analysis and Predictive Modeling.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.