Description

You develop and fine-tune machine learning and deep learning models for natural language processing use cases.

This role is remote.

Responsibilities

• Build end-to-end data science pipelines for training, evaluation, and experimentation.
• Implement and optimize model training and inference using TensorFlow and PyTorch.
• Design evaluation approaches for model quality, robustness, and performance on NLP tasks.
• Collaborate with engineering teams to integrate ML components into AI applications.

Required Skills

• Strong proficiency in Python for machine learning and deep learning development.
• Hands-on experience with TensorFlow and PyTorch for model development and experimentation.
• Strong knowledge of Natural Language Processing (NLP) and data science techniques.
• Solid understanding of machine learning and deep learning fundamentals applied to real-world problems.
• Experience with model evaluation, optimization, and experimentation workflows.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience in Computer Vision and Reinforcement Learning.
• Exposure to large language models (LLMs), prompt engineering, and AI application integration.
• Familiarity with cloud-based AI/ML platforms and deployment workflows.

Key Skills

Education

Any Graduate