> Markdown version of [/jobs/ext/3966733-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3966733-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).

---

# ML Engineer

- **Company:** e-IT Professionals Corp.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Artificial Neural Networks, Cluster Analysis, Data Structures, Data Stores, Python (Programming Language), NoSQL, NumPy, Performance Tuning, Rapid Prototyping Process, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Backend, Agentic-AI, Pandas, Kubernetes, Information Technology, Machine Learning Operations, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/ca662d5b-ca4f-4f5e-86d0-7b9d723c6747

## About the Role

* BS or higher in Computer Science or equivalent practical experience
 * 5+ years building production AI/ML systems; prior experience leading an engineering effort a plus
 * Strong CS fundamentals - data structures, algorithms, system design - plus solid ML fundamentals (classification, regression, clustering, neural networks)
 * Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, Pandas/NumPy)
 * Practical experience with LLMs: prompt engineering, fine-tuning, and frameworks like LangChain
 * Experience building or operating agentic systems, agent frameworks, or long-term memory/context architectures for AI applications
 * Familiarity designing evaluation frameworks or offline/online eval pipelines for measuring model and agent quality
 * Track record of launching AI integrations in production and evaluating their real-world impact
 * Strong cross-functional collaboration skills, partnering effectively with data scientists, product managers, and engineers across global teams
 * Proficiency in one or more full-stack languages (JavaScript, Java) and experience designing scalable services - microservices, relational/NoSQL data stores, Kubernetes

## Description

* Design and own shared AI/ML components, frameworks, and pipelines - spanning model training, evaluation, and fine-tuning - used across multiple product teams
 * Apply ML fundamentals and LLM techniques (prompting, fine-tuning, RAG) to solve concrete customer problems, then evaluate model performance in production
 * Prototype and build agent builder frameworks and embedded AI experiences, taking cutting-edge agentic AI concepts from early exploration to product-ready implementations
 * Drive rapid prototyping and experimentation to move from proof-of-concept to high-accuracy, performant systems
 * Architect and build full-stack, AI-native applications end-to-end, from backend services to production LLM integrations