> Markdown version of [/jobs/ext/4561207-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4561207-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML Engineer

- **Company:** Nova cruitix LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Data Cleansing, Data Files, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Standard Sql, Unstructured Data, Scripting, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Llamaindex, Generative AI, Pandas, Scikit Learn, HuggingFace, Machine Learning Operations, Restful APIs, Docker, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-nc--1e9bf06e-191a-45cf-873d-67b37d93059d

## About the Role

Artificial Intelligence (AI), Machine Learning, Artificial Intelligence (AI), Python Programming/Scripting Language, Data Sets, Computer Vision, Natural Language Processing (NLP), Docker, * Python

 * Machine Learning / Deep Learning
 * TensorFlow / PyTorch / Scikit-learn
 * Pandas, NumPy
 * SQL
 * NLP / Computer Vision knowledge
 * Generative AI / LLMs preferred
 * AWS / Azure / GCP
 * Docker and basic MLOps knowledge
 * Strong analytical and problem-solving skills

Preferred Skills

 * LangChain / LlamaIndex
 * Hugging Face
 * Vector Databases
 * MLflow
 * Databricks
 * REST APIs

## Description

We are hiring an AI/ML Engineer with 2 4 years of experience in developing, training, and deploying machine learning and AI solutions.
Key Responsibilities

 * Build and optimize machine learning models.
 * Develop AI/ML solutions using Python and popular ML frameworks.
 * Work with structured and unstructured datasets.
 * Perform data preprocessing, feature engineering, and model evaluation.
 * Deploy and monitor ML models in cloud environments.
 * Collaborate with Data Engineers, Data Scientists, and application teams.
 * Work on Generative AI / LLM solutions where required.