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# entry-level Gen AI / Machine Learning Engineer

- **Company:** NET2ASPIRE LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Cloud Computing, Code Review, Computer Programming, Continuous Integration, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, SQL Databases, Software Organization, Data Processing, Google Cloud, Cloud Platform System, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Information Technology, HuggingFace, Machine Learning Operations, Restful APIs, GPT, Docker
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/d2a4afad-12b6-4d80-90da-26069561c353

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
 * Strong programming knowledge in Python.
 * Understanding of Machine Learning and Deep Learning concepts.
 * Familiarity with Generative AI, Large Language Models (LLMs), and Prompt Engineering.
 * Knowledge of SQL and data processing.
 * Familiarity with NLP and transformer-based models.
 * Understanding of REST APIs and API integration.
 * Familiarity with Git/GitHub and software development practices.
 * Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
 * Strong analytical, problem-solving, and communication skills.

Preferred Skills

 * Experience with LangChain, LangGraph, Hugging Face, OpenAI APIs, or similar AI frameworks.
 * Knowledge of RAG (Retrieval-Augmented Generation).
 * Experience with vector databases such as Pinecone, FAISS, Chroma, or similar technologies.
 * Familiarity with PyTorch or TensorFlow.
 * Knowledge of Docker and CI/CD.
 * Exposure to AWS SageMaker, Azure ML, or Google Vertex AI.
 * Understanding of MLOps and model deployment practices.

Experience

 * Entry-level / 0-2 years of experience in AI/ML, software engineering, data science, or a related field.
 * Academic projects, internships, bootcamp projects, or personal AI/ML projects are welcome., * Full-time position.
 * Collaborative and technology-focused environment.
 * Opportunity to work on Generative AI, Machine Learning, LLM, and cloud-based projects.

## Description

* Develop, train, test, and optimize machine learning models for business applications.
 * Build and integrate Generative AI and LLM-based applications.
 * Work with Python, SQL, APIs, and machine learning frameworks.
 * Develop AI applications using technologies such as LangChain, RAG, embeddings, and vector databases.
 * Perform data preprocessing, feature engineering, model evaluation, and analysis.
 * Integrate third-party and internal APIs into AI/ML applications.
 * Develop prompt engineering strategies and evaluate LLM outputs.
 * Assist with deploying AI/ML models and applications to cloud environments.
 * Collaborate with software engineers, data engineers, and business teams.
 * Troubleshoot model, data, API, and application issues.
 * Maintain technical documentation and follow software development best practices.
 * Participate in code reviews, testing, debugging, and continuous improvement.