Gen AI Developers

You should have at least 3+ years of relevant experience with the following skills: - Proficiency in Python, machine learning, deep learning, and NLP processing. - Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. - Proficiency in Langchain, LLM. - Ability to prompt and optimize few-shot techniques to enhance LLM's performance on specific tasks. - Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. - Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. - Solid understanding of data structures, algorithms, and principles of software engineering. - Experience with vector databases RDBMS, MongoDB, and NoSQL databases. - Proficiency in working with embeddings. - Strong distributed systems skills and system architecture skills. - Experience in building and running a large platform at scale. - Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. - Experience as a data modeling ML/NLP scientist, including performance tuning, fine-tuning, RLHF, and performance optimization. - Proficient with the integration of data from multiple sources and API design. - Good knowledge of Kubernetes and RESTful design. - Prior experience in developing public cloud services or open-source ML software is an advantage. You should also have a validated background with ML toolkits such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Your experience and strong knowledge of using AI/ML and particularly LLMs will be beneficial in this role.,