8 months ago
Responsibilities
- Conceptualize, develop, and deploy machine learning models for NLP and related systems.
- Implement advanced machine learning algorithms to improve AI system performance.
- Lead the processing and analysis of large, complex datasets.
- Manage the complete lifecycle of ML model development.
- Implement A/B testing and develop automated testing processes.
- Communicate technical workings of ML models to stakeholders.
Requirements
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field.
- 7+ years of industry experience in building and deploying production-level ML models.
- Deep understanding of NLP techniques and frameworks.
- Experience with retrieval, ranking, reinforcement learning, and agent-based systems.
- Proficiency in Python and experience with ML libraries like TensorFlow or PyTorch.
- Excellent skills in data processing and experience with large-scale data systems.
- Familiarity with MLOps principles and model lifecycle management tools.
- Experience with cloud platforms like GCP or Azure.
- Knowledge of current trends in machine learning and AI.
- Strong problem-solving skills and attention to detail.