Machine Learning
quantumparadigm
Job Description
- Design, develop, and deploy machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Implement and fine-tune deep learning models using TensorFlow, PyTorch, or Keras.
- Optimize model performance by tuning hyperparameters and reducing computational costs.
- Work with NLP, Computer Vision, or Predictive Analytics as needed.
- Deploy ML models using Docker, Kubernetes, and cloud services (AWS, GCP, Azure).
- Implement MLOps best practices for model lifecycle management.
- Develop RESTful APIs to integrate ML models into production systems.
- Stay updated with the latest research and advancements in AI/ML.
- Collaborate with data scientists, engineers, and domain experts to refine models.