AI/ML Engineer

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

Job summary

Valiant Technologies LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent applications addressing complex business problems. The role emphasizes practical model development and data-driven decision making.

The ideal candidate will work across data engineering and software teams, iterating on NLP, generative AI, and production-grade ML pipelines, with an emphasis on scalable, reliable solutions.

Qualifications

• Strong experience in ML model development and deployment.
• Proficient in Python, SQL and ML tooling.
• Experience with NLP, Generative AI, and LLMs.
• Familiar with MLOps and data preprocessing.

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.

Skills

Python

SQL

Machine Learning

TensorFlow

PyTorch

Scikit-learn

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.