AI Developers

You should have at least 3+ years of relevant experience and possess the following skills: - Deep understanding and hands-on experience with Generative AI technologies such as GPT3, ML Ops, and Python. - Proficiency in Python programming language, with expertise in machine learning, deep learning, and natural language processing (NLP). - Ability to develop and implement generative AI models, with a strong grasp of deep learning techniques like GPT, VAE, and GANs. - Familiarity with Langchain and LLM. - Skilled in optimizing few-shot techniques to enhance LLM's performance for specific tasks, like personalized recommendations. - Capable of evaluating and optimizing LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and integrating the model into robust web applications. - Solid understanding of data structures, algorithms, and software engineering principles. - Experience working with vector databases, including RDBMS, MongoDB, and NoSQL databases. - Proficient in working with embeddings and distributed systems. - Experienced in building and running large-scale platforms. - Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. - Background as a data modeling ML/NLP scientist, with expertise in performance tuning, fine-tuning, RLHF, and performance optimization using ML toolkits like PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. - Proficient in integrating data from multiple sources, API design, and mapping data to schema using NoSQL databases such as HBase, ElasticSearch, and MongoDB. - Strong knowledge of AI/ML, particularly LLMs, and eager to apply this rapidly evolving technology. - Good understanding of Kubernetes and RESTful design. - Prior experience in developing public cloud services or open-source ML software is an advantage.,