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# Junior AI/ML Engineer

- **Company:** Guru Schools
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Data Governance, Relational Databases, Database Queries, Linux, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Unstructured Data, Jupyter Notebook, Google Cloud, Feature Engineering, Pytorch, Deep Learning, Model Validation, Generative AI, Git, Pandas, Scikit Learn, Machine Learning Operations, Data Pipelines, Docker, Unsupervised Learning
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us894e4ab48920a67407c718fabcaad371

## About the Role

* 0-2 years of experience or knowledge in Artificial Intelligence or Machine Learning.
 * Strong programming skills in Python.
 * Basic knowledge of SQL and relational databases.
 * Understanding of Machine Learning algorithms and model evaluation techniques.
 * Familiarity with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
 * Basic understanding of Deep Learning and Neural Networks.
 * Knowledge of AWS, Azure, or GCP cloud platforms.
 * Familiarity with Git, Linux, and Jupyter Notebook.
 * Exposure to MLOps concepts and Docker is a plus.
 * Strong analytical, communication, and problem-solving skills.
 * Ability to work independently and collaboratively in a remote work environment.

## Description

We provide structured training, real-time project exposure, interview preparation, and continuous support to help you grow successfully in your
career.
Role Overview
We are looking for recent graduates or early-career professionals with 0-2 years of experience to join our Artificial Intelligence and Machine
Learning team. The ideal candidate will assist in developing, training, and deploying AI/ML models while working with large datasets and
cloud-based machine learning solutions. This role is an excellent opportunity for candidates who want to build practical experience in Artificial
Intelligence, Machine Learning, Deep Learning, and MLOps., * Develop, train, test, and deploy Machine Learning models.

 * Collect, clean, and preprocess structured and unstructured datasets.
 * Build predictive models using supervised and unsupervised learning techniques.
 * Work with Python and ML libraries to develop AI solutions.
 * Perform feature engineering and model optimization.
 * Collaborate with Data Scientists, Data Engineers, and Software Developers.
 * Develop data pipelines for AI/ML workflows.
 * Deploy ML models using cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
 * Monitor model performance and retrain models when necessary.
 * Create technical documentation and present project findings.
 * Follow AI ethics, data governance, and security best practices.
 * Stay updated with the latest AI, ML, and Generative AI technologies.


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