Machine Learning Engineer
Summary
Designs, trains, and deploys AI models (NLP focus) and integrates them into production systems using Python, PyTorch/TensorFlow, and cloud services.
Role Summary
Designs, trains, and deploys AI models that power the core product. Works closely with backend and product teams to integrate models efficiently into production systems.
Key Responsibilities
- Develop and fine-tune machine learning and NLP models.
- Collect, clean, and preprocess datasets.
- Evaluate model performance and optimize for scalability.
- Deploy models through APIs or cloud-based services.
- Collaborate with engineers to ensure model reliability in production.
Required Skills
- Python, PyTorch/TensorFlow, MLOps basics, cloud deployment (AWS/GCP), and data handling.