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# Machine Learning Specialist

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Programming, Data Cleansing, Distributed Computing Environment, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Deployment, Reinforcement Learning, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Google Vertex AI, Model Validation, Information Technology, Transformer Architectures, Machine Learning Operations
- **Published:** October 13, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-specialist-hamster-8116144

## About the Role

* Master's degree or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
 * 5+ years of experience in machine learning development and deployment.
 * Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar).
 * Deep understanding of transformer architectures and their applications in NLP.
 * Experience with large language models and fine-tuning techniques.
 * Proficiency in implementing and optimizing RAG systems.
 * Experience with ML model deployment and production monitoring.
 * Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
 * Experience with cloud platforms and ML infrastructure (AWS SageMaker, Google Vertex AI, or similar).
 * Excellent problem-solving skills and attention to detail.
 * Strong communication and interpersonal skills.

Preferred Qualifications

 * Experience with MLOps and ML pipeline orchestration tools.
 * Knowledge of distributed training and model optimization techniques.
 * Experience with vector databases and similarity search algorithms.
 * Familiarity with reinforcement learning and multi-agent systems.

## Description

You will be responsible for developing and implementing machine learning solutions that power our AI-native platform. This role requires expertise in custom model development, transformer architectures, and production deployment of ML systems., * Design and develop custom machine learning models for specific business use cases.

 * Implement and optimize transformer architectures for natural language processing tasks.
 * Develop and maintain ML pipelines for data preprocessing, model training, and inference.
 * Work with large language models and implement fine-tuning strategies.
 * Implement retrieval-augmented generation (RAG) systems and optimize their performance.
 * Collaborate with engineering teams to deploy ML models in production environments.
 * Monitor and maintain model performance in production, implementing retraining strategies as needed.
 * Conduct research on emerging ML techniques and evaluate their applicability to our platform.
 * Mentor junior ML engineers and contribute to best practices within the team.