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# Senior ML Engineer

- **Company:** Svitla Systems Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing, Configuration Management, Encodings, Computer Programming, Github, Python (Programming Language), Machine Learning, NumPy, Search Technologies, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Pandas, HuggingFace, Data Management, Machine Learning Operations, FAISS, Evaluation of Large Language Models, GPT, Software Version Control
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pqekaghfyc

## About the Role

* A solid background in machine learning, particularly in classification and retrieval tasks, as well as hands-on experience with large language models (LLMs), including fine-tuning for specific use cases, retrieval-augmented generation (RAG), foundation models APIs, and prompt engineering.
 * Strong understanding of programming with Python.
 * Experience with: LLM fine-tuning, retrieval-augmented generation, foundation model APIs, prompt engineering.
 * Solid knowledge of machine learning and artificial intelligence.
 * Experience with classification and retrieval tasks.
 * Hands-on experience with large language models.
 * Knowledge of Pandas and NumPy.
 * Good understanding of NLP concepts.
 * Familiarity with Faiss or similar nearest-neighbor search tools.
 * Experience with Hydra for configuration management.
 * Experience with Weights & Biases for experiment tracking.
 * Experience with Git and GitHub.
 * Expertise in data management and manipulation.
 * Strong problem-solving and analytical abilities.
 * Experience working with shared codebases, remote teams, and remote servers.

Will be a plus

 * Understanding of vector search and embedding-based retrieval.
 * Familiarity with LLM evaluation and optimization.
 * Knowledge of MLOps practices.
 * Experience deploying ML models in production environments.
 * Experience with cloud-based ML infrastructure.
 * Familiarity with LangChain, LlamaIndex, or similar LLM frameworks.

## Description

* Develop, train, evaluate, and deploy machine learning models.
 * Work on classification, retrieval, NLP, and LLM-based tasks.
 * Build and optimize retrieval-augmented generation workflows.
 * Create fine-tuned large language models for specific use cases.
 * Use foundation model APIs and apply prompt engineering techniques.
 * Prepare, clean, manage, and manipulate datasets for ML model development.
 * Use Python libraries such as Pandas and NumPy for data analysis and preprocessing.
 * Work with Hugging Face Transformers and Datasets libraries.
 * Apply Faiss or similar tools for efficient nearest-neighbor search and retrieval tasks.
 * Use Hydra for configuration management.
 * Use Weights & Biases or similar tools for experiment tracking.
 * Collaborate with team members on shared codebases and remote projects.
 * Use Git and GitHub for version control and collaborative development.
 * Work on remote servers to develop, test, and deploy machine learning models.