Artificial Intelligence/Machine Learning Engineer - LLM

<p><p><b>Description : </b></p><p><p><b><br/></b></p>- Design and build machine learning models, with a focus on large language models (LLMs) like GPT, BERT, or open-source alternatives.<br/><br/>- Develop recommendation systems for venue suggestions, package customization, and other wedding services.<br/><br/>- Implement generative AI solutions for content creation, design suggestions, and customer engagement.<br/><br/>- Work with raw, unstructured data from diverse sources to clean, preprocess, and structure it for AI/ML applications.<br/><br/>- Build and maintain pipelines for real-time and batch data processing.<br/><br/>- Deploy AI models in production using cloud-based tools (AWS SageMaker, GCP Vertex AI, etc.<br/><br/>- Optimize model performance for accuracy, scalability, and cost-effectiveness.<br/><br/>- Explore and integrate state-of-the-art AI/ML techniques to address business challenges.<br/><br/>- Collaborate with cross-functional teams (product, design, operations) to understand requirements and deliver AI-powered features.<br/><br/><b>Qualifications : </b></p><p><p><b><br/></b></p>- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.<br/><br/>- 2+ years of experience in AI/ML, with hands-on expertise in deploying models.<br/><br/><b>Technical Skills : </b></p><p><p><b><br/></b></p>- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.<br/><br/>- Experience with LLMs (fine-tuning and deploying models like GPT-3, GPT-4, Llama, or similar).<br/><br/>- Familiarity with recommendation systems, generative AI models, and NLP techniques.<br/><br/>- Knowledge of MLOps practices (CI/CD, Docker, Kubernetes).<br/><br/>- Cloud expertise (AWS, GCP, or Azure</p><br/></p> (ref:hirist.tech)