Key Responsibilities:

• Develop, optimize, and maintain machine learning and deep learning models for various applications.

• Design and implement NLP solutions, leveraging cutting-edge language models like GPT and LLMs.

• Collaborate with data scientists and product teams to transform business requirements into AI-powered solutions.

• Continuously improve the performance and efficiency of existing AI models.

• Stay updated with the latest advancements in AI, NLP, and machine learning to ensure the team leverages the best technologies.

• Debug and troubleshoot machine learning pipelines and algorithms.

• Document processes and model architectures for reproducibility and team collaboration.

Required Skills:

• Expertise in Machine Learning, Deep Learning, NLP, LLM, and GPT.

• Strong programming skills in Python, including frameworks like PyTorch, TensorFlow, or JAX.

• Proficiency in using NLP libraries such as spaCy, Hugging Face, NLTK, or OpenAI API.

• Experience with data preprocessing, feature engineering, and model optimization.

• Solid understanding of transformer models and large language models.

• Strong problem-solving and analytical skills.

• Excellent communication and teamwork abilities.

Preferred Qualifications:

• Experience with MLOps tools and platforms.

• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying machine learning models.

• Contributions to open-source projects or a portfolio of personal machine learning projects.

• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, or related fields.