Machine Learning Engineer
Summary
Designs, trains, and deploys AI models using Python and PyTorch/TensorFlow, integrating them into production systems with cloud deployment.
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.