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# AI/ML Engineer

- **Company:** Tennesee Urology Associates, PLLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $30,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Information Engineering, Elasticsearch, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Apache Solr, Pytorch, Large Language Models, Concurrency, Parallel Computation, Git, Fastapi, Pandas, Kubernetes, Information Technology, HuggingFace, Xgboost, Codebase, Machine Learning Operations, GPT, Docker
- **Published:** August 12, 2026
- **Apply:** https://job-boards.eu.greenhouse.io/tensorops/jobs/4951329101

## About the Role

* BSc in Computer Science, Software Engineering or equivalent
 * MSc in Computer Science, Data Science, AI or equivalent, * Solid software engineering fundamentals (OOP, Git, concurrency, parallelism)
 * Proficiency in Python
 * Understanding of LLM system design (RAG, agents, etc.)
 * Knowledge of ML system design (pipelines, training/inference techniques)
 * Excellent English communication skills

Nice to Have:

 * Experience in non-academic projects (jobs, internships or similar)
 * Previous LLM projects (academic or otherwise)
 * Exposure to AI features in cloud platforms (Sagemaker, Bedrock, Vertex AI)
 * Experience working in large codebases

## Description

Work as a hands-on junior ML engineer building generative AI apps, traditional ML models, and MLOps solutions. Implement and maintain model training, inference pipelines, and LLM systems while being mentored by senior engineers and delivering client projects.
The summary above was generated by AI

Build the Next Generation of AI Products with TensorOps

TensorOps is an applied machine learning and artificial intelligence studio helping organizations worldwide plan, design, train, and deploy production-grade ML systems. Our clients range from NASDAQ-listed enterprises to seed-stage startups. Projects span from small proofs-of-concept to multi-year strategic initiatives.

What We're Working On:

 * Generative AI applications: Chatbots and Agents
 * Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc.
 * MLOps: Improving ML pipelines at scale

Core Stack:
As we work with many clients, our stack varies, but we often use:

 * Python APIs: FastAPI
 * Containerization: Docker, Kubernetes
 * Model Training & Serving: LightGBM, CatBoost, PyTorch, HuggingFace
 * Data Engineering: Pandas, Polars
 * LLM Frameworks: LangChain, LangGraph
 * Observability: MLFlow, Langfuse
 * Cloud Platforms: AWS, GCP
 * Search: Elasticsearch, OpenSearch, Solr, We're looking for a Junior Machine Learning Engineer to help us deliver projects rapidly. You'll report to and be mentored by a senior team member. This is a hands-on role from day one, working on real projects that make a tangible impact.


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