Develop and implement advanced ML models for solving complex business problems.
Fine-tune large language models (LLMs) and integrate retrieval augmented generation (RAG) techniques to improve the quality and relevance of responses.
Requirements
5 to 8 years of strong professional experienceworking on Machine Learning models deployed on Production with International Clients.
Bachelordegree, Masters degree or PhD in Computer Science, Data Science, or a related field.
Practical experience of designing and implementing Machine Learning algorithms and techniques (e.g., regression, classification, clustering).
Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, Hugging Face Transformers, and Rasa.
Deep understanding of conversational AI techniques and architectures.
Experience fine-tuning large language models (LLMs) for specific conversational tasks.
Experience with retrieval augmented generation (RAG) techniques.
Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
Excellent problem-solving, analytical, and communication skills.