Machine Learning Engineer

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.