AI/ML Engineer

Robotics Technologies; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Robotics Technologies LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications solving complex business problems. The role emphasizes building ML models, data processing, NLP, and integrating AI into enterprise systems.

The candidate will work with data engineers and software developers to create scalable AI solutions, monitor performance, and maintain automated ML pipelines and documentation. This is an on-site role in Austin, TX.

Qualifications

• Proficiency in Python and ML tools.
• Experience building NLP and generative AI solutions.
• Strong data wrangling and feature engineering skills.
• Experience deploying ML models and continuous delivery practices.
• Familiarity with statistical analysis and predictive modeling.

Responsibilities

• Design, develop, and implement machine learning 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 implementation 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

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.