Hamster
Senior Machine Learning Specialist
San Francisco · Senior
Sponsorship not specifiedDetected 280 days ago
PythonVector DatabasesAWSCloud PlatformsMachine LearningTensorFlowPyTorchNLPLLMsRAGMLOpsResearchCommunicationProblem Solving
About the role
- This role requires expertise in custom model development, transformer architectures, and production deployment of ML systems.
Responsibilities
- 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.
Requirements
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar).
- 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).
- 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.
- Deep understanding of transformer architectures and their applications in NLP.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
Nice to have
- Experience with MLOps and ML pipeline orchestration tools.
- Knowledge of distributed training and model optimization techniques.
- Experience with vector databases and similarity search algorithms.
Benefits
- Design and develop custom machine learning models for specific business use cases.
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