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# AI/ML Engineer

- **Company:** Aivra Health Llc
- **Location:** San Francisco, CA, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Program Optimization, Data Cleansing, Data Structures, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Software Engineering, Unstructured Data, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Generative AI, Pandas, Scikit Learn, Information Technology, HuggingFace, Machine Learning Operations, Restful APIs, Docker
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/2adef341-b21a-4caf-b5b5-f747d0be6921

## About the Role

* Python
 * Machine Learning
 * Deep Learning
 * NumPy & Pandas
 * Scikit-learn
 * SQL
 * Data Structures & Algorithms
 * Git / GitHub
 * ML model training, evaluation, and optimization
 * Strong problem-solving skills

Preferred Skills

 * PyTorch / TensorFlow
 * NLP / Computer Vision
 * Generative AI / LLMs
 * Hugging Face
 * LangChain
 * RAG
 * OpenAI APIs
 * AWS / Azure / Google Cloud Platform
 * Docker
 * MLOps
 * REST APIs, Master's degree in: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Technology, or a related field., * s and candidates with 1-3 years of experience can apply.
 * Currently living in the USA.
 * Candidates with relevant US work authorization, including OPT/CPT, STEM OPT, H-1B, or other eligible authorization.
 * Candidates with internships, projects, academic experience, or professional experience in AI/ML.
 * Open to Work / actively seeking opportunities.

## Description

We are looking for an AI/ML Engineer to develop and deploy machine learning and AI solutions for real-world applications. This role is open to talented Entry Level Candidates and early-career professionals with strong technical skills and hands-on AI/ML experience., * Design, develop, train, and evaluate machine learning models.

 * Work with structured and unstructured datasets.
 * Build and optimize AI/ML pipelines.
 * Develop and integrate ML models into production applications.
 * Perform data preprocessing, feature engineering, and model optimization.
 * Collaborate with software engineers, data scientists, and product teams.
 * Monitor model performance and troubleshoot ML systems.
 * Write clean, scalable, and maintainable Python code.
 * Research and implement modern AI/ML techniques.


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