Senior Machine Learning Specialist

Responsibilities

• 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

Requirements

• Master's degree or PhD in Computer Science, Machine Learning, or a related field
• 5+ years of experience in machine learning development and deployment
• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or TensorFlow
• Deep understanding of transformer architectures and 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
• Experience with cloud platforms and ML infrastructure like AWS SageMaker or Google Vertex AI

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