Description

You will design, develop, and deploy machine learning and natural language processing models to solve complex business problems.

None of the work mode flags (is_remote, hybrid, on_site) are set to 1, so no work mode line is included.

Responsibilities

• Develop and implement deep learning models using PyTorch, TensorFlow, or Keras.
• Build and optimize Natural Language Processing (NLP) solutions for diverse applications.
• Deploy and monitor models in production environments to ensure reliability.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

Required Skills

• 8+ years of experience in machine learning and deep learning.
• Expertise in Python, scikit-learn, and XGBoost.
• Strong proficiency with PyTorch, TensorFlow, and Keras.
• Hands-on experience with Natural Language Processing (NLP).
• Advanced Python programming skills, including decorators and class structures.
• Experience with version control using Git.
• Adherence to PEP-8 software development standards.

Preferred Skills

• Experience with Graph Neural Networks (GNN) and Graph Convolutional Networks (GCN).
• Knowledge of Reinforcement Learning techniques such as PPO or DPO.
• Exposure to generative AI, large language models (LLMs), and MLOps expertise.

Key Skills

Education

Any Graduate