The posting
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.



