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AI and ML Engineer for Large-Scale Platform
1 week ago
We are looking for an experienced professional with expertise in developing and implementing generative AI models, as well as proficiency in Python, machine learning, deep learning, and NLP processing.
The ideal candidate will have hands-on experience with vector databases, RDBMS, MongoDB, and NoSQL databases, as well as strong distributed systems skills and system architecture skills. Additionally, they will be proficient in working with embeddings and have experience with large platform development at scale.
Responsibilities include evaluating LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. The candidate will also collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
We are looking for someone with a solid understanding of data structures, algorithms, and principles of software engineering, as well as experience with performance tuning, fine-tuning, RLHF, and performance optimization. Proficiency in tools like PyTorch, TensorFlow, Keras, Langchain, and SparkML is also required.
This role offers a great opportunity for an experienced AI/ML engineer to apply their knowledge and skills in a rapidly changing technology landscape. If you have a passion for AI, ML, and large-scale platform development, we encourage you to apply.